diff --git "a/openvino_vision_embeddings_model.xml" "b/openvino_vision_embeddings_model.xml"
new file mode 100644--- /dev/null
+++ "b/openvino_vision_embeddings_model.xml"
@@ -0,0 +1,38918 @@
+<?xml version="1.0"?>
+<net name="Model3" version="11">
+	<layers>
+		<layer id="0" name="pixel_values" type="Parameter" version="opset1">
+			<data shape="?,3,?,?" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="pixel_values">
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="self.vision_tower.vision_model.embeddings.patch_embedding.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 3, 14, 14" offset="0" size="677376" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>3</dim>
+					<dim>14</dim>
+					<dim>14</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" name="Convert_2225527" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>3</dim>
+					<dim>14</dim>
+					<dim>14</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>3</dim>
+					<dim>14</dim>
+					<dim>14</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="self.vision_tower.vision_model.embeddings.patch_embedding.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1, 1, 1" offset="677376" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="self.vision_tower.vision_model.embeddings.patch_embedding.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>3</dim>
+					<dim>14</dim>
+					<dim>14</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>3</dim>
+					<dim>14</dim>
+					<dim>14</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5" name="self.vision_tower.vision_model.embeddings.patch_embedding.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>3</dim>
+					<dim>14</dim>
+					<dim>14</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>3</dim>
+					<dim>14</dim>
+					<dim>14</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6" name="__module.vision_tower.vision_model.embeddings.patch_embedding/aten::_convolution_mode/Convolution" type="Convolution" version="opset1">
+			<data strides="14, 14" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="valid" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>3</dim>
+					<dim>14</dim>
+					<dim>14</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>1152</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="__module.vision_tower.vision_model.embeddings.patch_embedding/aten::_convolution_mode/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1152, 1, 1" offset="679680" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1152</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="__module.vision_tower.vision_model.embeddings.patch_embedding/aten::_convolution_mode/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1152</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1152</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="35,patch_embeds">
+					<dim>-1</dim>
+					<dim>1152</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="Constant_153819" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="684288" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="__module.vision_tower.vision_model.embeddings/aten::flatten/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1152</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="36">
+					<dim>-1</dim>
+					<dim>1152</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="11" name="__module.vision_tower.vision_model.embeddings/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="684312" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="__module.vision_tower.vision_model.embeddings/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1152</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="37,embeddings.1">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="13" name="self.vision_tower.vision_model.embeddings.position_embedding.weight" type="Const" version="opset1">
+			<data element_type="bf16" shape="4096, 1152" offset="684324" size="9437184" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.embeddings.position_embedding.weight">
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="14" name="__module.vision_tower.vision_model.embeddings.position_embedding/ov_ext::embedding/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="15" name="__module.vision_tower.vision_model.embeddings.position_embedding/ov_ext::embedding/Convert_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1, 4096" offset="10121508" size="16384" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="16" name="__module.vision_tower.vision_model.embeddings.position_embedding/ov_ext::embedding/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="10137892" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="17" name="__module.vision_tower.vision_model.embeddings.position_embedding/ov_ext::embedding/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="39">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="18" name="__module.vision_tower.vision_model.embeddings/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="40,residual.1">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="19" name="__module.vision_tower.vision_model.encoder.layers.0.layer_norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="20" name="__module.vision_tower.vision_model.encoder.layers.0.layer_norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="21" name="Constant_153343" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="10137900" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="22" name="__module.vision_tower.vision_model.encoder.layers.0.layer_norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="23" name="Constant_153344" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="10142508" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="24" name="__module.vision_tower.vision_model.encoder.layers.0.layer_norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="102,hidden_states.1">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="25" name="self.vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="10147116" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="26" name="Convert_1707030" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="27" name="self.vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="11474220" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="28" name="self.vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="29" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn.q_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="30" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn.q_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="31" name="self.vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="11476524" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="32" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn.q_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="33" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn.q_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="111,query_states.1">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="34" name="Constant_153820" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="35" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="119">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="36" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="37" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="120">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="38" name="self.vision_tower.vision_model.encoder.layers.0.self_attn.k_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="11478876" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="39" name="Convert_1702138" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="40" name="self.vision_tower.vision_model.encoder.layers.0.self_attn.k_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="12805980" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="41" name="self.vision_tower.vision_model.encoder.layers.0.self_attn.k_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="42" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn.k_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="43" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn.k_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="44" name="self.vision_tower.vision_model.encoder.layers.0.self_attn.k_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="12808284" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.0.self_attn.k_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="45" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn.k_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="46" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn.k_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="114,key_states.1">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="47" name="Constant_153821" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="48" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="122">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="49" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="50" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="123">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="51" name="self.vision_tower.vision_model.encoder.layers.0.self_attn.v_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="12810588" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="52" name="Convert_1697246" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="53" name="self.vision_tower.vision_model.encoder.layers.0.self_attn.v_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="14137692" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="54" name="self.vision_tower.vision_model.encoder.layers.0.self_attn.v_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="55" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn.v_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="56" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn.v_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="57" name="self.vision_tower.vision_model.encoder.layers.0.self_attn.v_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="14139996" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.0.self_attn.v_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="58" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn.v_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="59" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn.v_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="117,value_states.1">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="60" name="Constant_153822" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="61" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn/aten::view/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="125">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="62" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="63" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="126">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="64" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="127,attn_output.1">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="65" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="66" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="128">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="67" name="Constant_153823" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="14142300" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="68" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn/aten::view/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="131">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="69" name="self.vision_tower.vision_model.encoder.layers.0.self_attn.out_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="14142324" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="70" name="Convert_1711922" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="71" name="self.vision_tower.vision_model.encoder.layers.0.self_attn.out_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="15469428" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="72" name="self.vision_tower.vision_model.encoder.layers.0.self_attn.out_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="73" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn.out_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="74" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn.out_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="75" name="self.vision_tower.vision_model.encoder.layers.0.self_attn.out_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="15471732" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.0.self_attn.out_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="76" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn.out_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="77" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn.out_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="134,hidden_states.3">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="78" name="__module.vision_tower.vision_model.encoder.layers.0/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="135,residual.3">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="79" name="__module.vision_tower.vision_model.encoder.layers.0.layer_norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="80" name="__module.vision_tower.vision_model.encoder.layers.0.layer_norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="81" name="Constant_153345" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="15474036" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="82" name="__module.vision_tower.vision_model.encoder.layers.0.layer_norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="83" name="Constant_153346" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="15478644" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="84" name="__module.vision_tower.vision_model.encoder.layers.0.layer_norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="139">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="85" name="self.vision_tower.vision_model.encoder.layers.0.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4304, 1152" offset="15483252" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="86" name="Convert_1428256" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="87" name="self.vision_tower.vision_model.encoder.layers.0.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4304, 1" offset="20441460" size="8608" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="88" name="self.vision_tower.vision_model.encoder.layers.0.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="89" name="__module.vision_tower.vision_model.encoder.layers.0.mlp.fc1/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="90" name="__module.vision_tower.vision_model.encoder.layers.0.mlp.fc1/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="91" name="self.vision_tower.vision_model.encoder.layers.0.mlp.fc1.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="4304" offset="20450068" size="8608" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.0.mlp.fc1.bias">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="92" name="__module.vision_tower.vision_model.encoder.layers.0.mlp.fc1/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="93" name="__module.vision_tower.vision_model.encoder.layers.0.mlp.fc1/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="145">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="94" name="__module.vision_tower.vision_model.encoder.layers.0.mlp.activation_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="TANH" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="146">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="95" name="self.vision_tower.vision_model.encoder.layers.0.mlp.fc2.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 4304" offset="20458676" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="96" name="Convert_1433148" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="97" name="self.vision_tower.vision_model.encoder.layers.0.mlp.fc2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="25416884" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="98" name="self.vision_tower.vision_model.encoder.layers.0.mlp.fc2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="99" name="__module.vision_tower.vision_model.encoder.layers.0.mlp.fc2/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="100" name="__module.vision_tower.vision_model.encoder.layers.0.mlp.fc2/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="101" name="self.vision_tower.vision_model.encoder.layers.0.mlp.fc2.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="25419188" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.0.mlp.fc2.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="102" name="__module.vision_tower.vision_model.encoder.layers.0.mlp.fc2/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="103" name="__module.vision_tower.vision_model.encoder.layers.0.mlp.fc2/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="149,hidden_states.5">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="104" name="__module.vision_tower.vision_model.encoder.layers.0/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="150,residual.5">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="105" name="__module.vision_tower.vision_model.encoder.layers.1.layer_norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="106" name="__module.vision_tower.vision_model.encoder.layers.1.layer_norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="107" name="Constant_153347" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="25421492" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="108" name="__module.vision_tower.vision_model.encoder.layers.1.layer_norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="109" name="Constant_153348" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="25426100" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="110" name="__module.vision_tower.vision_model.encoder.layers.1.layer_norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="158,hidden_states.7">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="111" name="self.vision_tower.vision_model.encoder.layers.1.self_attn.q_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="25430708" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="112" name="Convert_1726598" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="113" name="self.vision_tower.vision_model.encoder.layers.1.self_attn.q_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="26757812" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="114" name="self.vision_tower.vision_model.encoder.layers.1.self_attn.q_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="115" name="__module.vision_tower.vision_model.encoder.layers.1.self_attn.q_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="116" name="__module.vision_tower.vision_model.encoder.layers.1.self_attn.q_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="117" name="self.vision_tower.vision_model.encoder.layers.1.self_attn.q_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="26760116" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.1.self_attn.q_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="118" name="__module.vision_tower.vision_model.encoder.layers.1.self_attn.q_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="119" name="__module.vision_tower.vision_model.encoder.layers.1.self_attn.q_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="167,query_states.3">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="120" name="Constant_153824" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="121" name="__module.vision_tower.vision_model.encoder.layers.1.self_attn/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="175">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="122" name="__module.vision_tower.vision_model.encoder.layers.1.self_attn/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="123" name="__module.vision_tower.vision_model.encoder.layers.1.self_attn/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="176">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="124" name="self.vision_tower.vision_model.encoder.layers.1.self_attn.k_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="26762420" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="125" name="Convert_1721706" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="126" name="self.vision_tower.vision_model.encoder.layers.1.self_attn.k_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="28089524" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="127" name="self.vision_tower.vision_model.encoder.layers.1.self_attn.k_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="128" name="__module.vision_tower.vision_model.encoder.layers.1.self_attn.k_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="129" name="__module.vision_tower.vision_model.encoder.layers.1.self_attn.k_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="130" name="self.vision_tower.vision_model.encoder.layers.1.self_attn.k_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="28091828" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.1.self_attn.k_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="131" name="__module.vision_tower.vision_model.encoder.layers.1.self_attn.k_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="132" name="__module.vision_tower.vision_model.encoder.layers.1.self_attn.k_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="170,key_states.3">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="133" name="Constant_153825" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="134" name="__module.vision_tower.vision_model.encoder.layers.1.self_attn/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="178">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="135" name="__module.vision_tower.vision_model.encoder.layers.1.self_attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="136" name="__module.vision_tower.vision_model.encoder.layers.1.self_attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="179">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="137" name="self.vision_tower.vision_model.encoder.layers.1.self_attn.v_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="28094132" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="138" name="Convert_1716814" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="139" name="self.vision_tower.vision_model.encoder.layers.1.self_attn.v_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="29421236" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="140" name="self.vision_tower.vision_model.encoder.layers.1.self_attn.v_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="141" name="__module.vision_tower.vision_model.encoder.layers.1.self_attn.v_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="142" name="__module.vision_tower.vision_model.encoder.layers.1.self_attn.v_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="143" name="self.vision_tower.vision_model.encoder.layers.1.self_attn.v_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="29423540" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.1.self_attn.v_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="144" name="__module.vision_tower.vision_model.encoder.layers.1.self_attn.v_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="145" name="__module.vision_tower.vision_model.encoder.layers.1.self_attn.v_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="173,value_states.3">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="146" name="Constant_153826" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="147" name="__module.vision_tower.vision_model.encoder.layers.1.self_attn/aten::view/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="181">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="148" name="__module.vision_tower.vision_model.encoder.layers.1.self_attn/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="149" name="__module.vision_tower.vision_model.encoder.layers.1.self_attn/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="182">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="150" name="__module.vision_tower.vision_model.encoder.layers.1.self_attn/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="183,attn_output.5">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="151" name="__module.vision_tower.vision_model.encoder.layers.1.self_attn/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="152" name="__module.vision_tower.vision_model.encoder.layers.1.self_attn/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="184">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="153" name="Constant_153827" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="14142300" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="154" name="__module.vision_tower.vision_model.encoder.layers.1.self_attn/aten::view/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="187">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="155" name="self.vision_tower.vision_model.encoder.layers.1.self_attn.out_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="29425844" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="156" name="Convert_1731490" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="157" name="self.vision_tower.vision_model.encoder.layers.1.self_attn.out_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="30752948" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="158" name="self.vision_tower.vision_model.encoder.layers.1.self_attn.out_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="159" name="__module.vision_tower.vision_model.encoder.layers.1.self_attn.out_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="160" name="__module.vision_tower.vision_model.encoder.layers.1.self_attn.out_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="161" name="self.vision_tower.vision_model.encoder.layers.1.self_attn.out_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="30755252" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.1.self_attn.out_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="162" name="__module.vision_tower.vision_model.encoder.layers.1.self_attn.out_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="163" name="__module.vision_tower.vision_model.encoder.layers.1.self_attn.out_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="190,hidden_states.9">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="164" name="__module.vision_tower.vision_model.encoder.layers.1/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="191,residual.7">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="165" name="__module.vision_tower.vision_model.encoder.layers.1.layer_norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="166" name="__module.vision_tower.vision_model.encoder.layers.1.layer_norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="167" name="Constant_153349" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="30757556" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="168" name="__module.vision_tower.vision_model.encoder.layers.1.layer_norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="169" name="Constant_153350" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="30762164" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="170" name="__module.vision_tower.vision_model.encoder.layers.1.layer_norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="195">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="171" name="self.vision_tower.vision_model.encoder.layers.1.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4304, 1152" offset="30766772" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="172" name="Convert_1438040" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="173" name="self.vision_tower.vision_model.encoder.layers.1.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4304, 1" offset="35724980" size="8608" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="174" name="self.vision_tower.vision_model.encoder.layers.1.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="175" name="__module.vision_tower.vision_model.encoder.layers.1.mlp.fc1/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="176" name="__module.vision_tower.vision_model.encoder.layers.1.mlp.fc1/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="177" name="self.vision_tower.vision_model.encoder.layers.1.mlp.fc1.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="4304" offset="35733588" size="8608" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.1.mlp.fc1.bias">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="178" name="__module.vision_tower.vision_model.encoder.layers.1.mlp.fc1/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="179" name="__module.vision_tower.vision_model.encoder.layers.1.mlp.fc1/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="201">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="180" name="__module.vision_tower.vision_model.encoder.layers.1.mlp.activation_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="TANH" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="202">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="181" name="self.vision_tower.vision_model.encoder.layers.1.mlp.fc2.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 4304" offset="35742196" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="182" name="Convert_1442932" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="183" name="self.vision_tower.vision_model.encoder.layers.1.mlp.fc2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="40700404" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="184" name="self.vision_tower.vision_model.encoder.layers.1.mlp.fc2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="185" name="__module.vision_tower.vision_model.encoder.layers.1.mlp.fc2/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="186" name="__module.vision_tower.vision_model.encoder.layers.1.mlp.fc2/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="187" name="self.vision_tower.vision_model.encoder.layers.1.mlp.fc2.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="40702708" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.1.mlp.fc2.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="188" name="__module.vision_tower.vision_model.encoder.layers.1.mlp.fc2/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="189" name="__module.vision_tower.vision_model.encoder.layers.1.mlp.fc2/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="205,hidden_states.11">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="190" name="__module.vision_tower.vision_model.encoder.layers.1/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="206,residual.9">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="191" name="__module.vision_tower.vision_model.encoder.layers.2.layer_norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="192" name="__module.vision_tower.vision_model.encoder.layers.2.layer_norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="193" name="Constant_153351" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="40705012" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="194" name="__module.vision_tower.vision_model.encoder.layers.2.layer_norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="195" name="Constant_153352" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="40709620" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="196" name="__module.vision_tower.vision_model.encoder.layers.2.layer_norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="214,hidden_states.13">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="197" name="self.vision_tower.vision_model.encoder.layers.2.self_attn.q_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="40714228" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="198" name="Convert_1746166" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="199" name="self.vision_tower.vision_model.encoder.layers.2.self_attn.q_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="42041332" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="200" name="self.vision_tower.vision_model.encoder.layers.2.self_attn.q_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="201" name="__module.vision_tower.vision_model.encoder.layers.2.self_attn.q_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="202" name="__module.vision_tower.vision_model.encoder.layers.2.self_attn.q_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="203" name="self.vision_tower.vision_model.encoder.layers.2.self_attn.q_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="42043636" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.2.self_attn.q_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="204" name="__module.vision_tower.vision_model.encoder.layers.2.self_attn.q_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="205" name="__module.vision_tower.vision_model.encoder.layers.2.self_attn.q_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="223,query_states.5">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="206" name="Constant_153828" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="207" name="__module.vision_tower.vision_model.encoder.layers.2.self_attn/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="231">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="208" name="__module.vision_tower.vision_model.encoder.layers.2.self_attn/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="209" name="__module.vision_tower.vision_model.encoder.layers.2.self_attn/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="232">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="210" name="self.vision_tower.vision_model.encoder.layers.2.self_attn.k_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="42045940" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="211" name="Convert_1741274" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="212" name="self.vision_tower.vision_model.encoder.layers.2.self_attn.k_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="43373044" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="213" name="self.vision_tower.vision_model.encoder.layers.2.self_attn.k_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="214" name="__module.vision_tower.vision_model.encoder.layers.2.self_attn.k_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="215" name="__module.vision_tower.vision_model.encoder.layers.2.self_attn.k_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="216" name="self.vision_tower.vision_model.encoder.layers.2.self_attn.k_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="43375348" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.2.self_attn.k_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="217" name="__module.vision_tower.vision_model.encoder.layers.2.self_attn.k_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="218" name="__module.vision_tower.vision_model.encoder.layers.2.self_attn.k_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="226,key_states.5">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="219" name="Constant_153829" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="220" name="__module.vision_tower.vision_model.encoder.layers.2.self_attn/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="234">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="221" name="__module.vision_tower.vision_model.encoder.layers.2.self_attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="222" name="__module.vision_tower.vision_model.encoder.layers.2.self_attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="235">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="223" name="self.vision_tower.vision_model.encoder.layers.2.self_attn.v_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="43377652" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="224" name="Convert_1736382" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="225" name="self.vision_tower.vision_model.encoder.layers.2.self_attn.v_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="44704756" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="226" name="self.vision_tower.vision_model.encoder.layers.2.self_attn.v_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="227" name="__module.vision_tower.vision_model.encoder.layers.2.self_attn.v_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="228" name="__module.vision_tower.vision_model.encoder.layers.2.self_attn.v_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="229" name="self.vision_tower.vision_model.encoder.layers.2.self_attn.v_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="44707060" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.2.self_attn.v_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="230" name="__module.vision_tower.vision_model.encoder.layers.2.self_attn.v_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="231" name="__module.vision_tower.vision_model.encoder.layers.2.self_attn.v_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="229,value_states.5">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="232" name="Constant_153830" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="233" name="__module.vision_tower.vision_model.encoder.layers.2.self_attn/aten::view/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="237">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="234" name="__module.vision_tower.vision_model.encoder.layers.2.self_attn/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="235" name="__module.vision_tower.vision_model.encoder.layers.2.self_attn/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="238">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="236" name="__module.vision_tower.vision_model.encoder.layers.2.self_attn/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="239,attn_output.9">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="237" name="__module.vision_tower.vision_model.encoder.layers.2.self_attn/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="238" name="__module.vision_tower.vision_model.encoder.layers.2.self_attn/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="240">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="239" name="Constant_153831" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="14142300" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="240" name="__module.vision_tower.vision_model.encoder.layers.2.self_attn/aten::view/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="243">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="241" name="self.vision_tower.vision_model.encoder.layers.2.self_attn.out_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="44709364" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="242" name="Convert_1751058" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="243" name="self.vision_tower.vision_model.encoder.layers.2.self_attn.out_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="46036468" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="244" name="self.vision_tower.vision_model.encoder.layers.2.self_attn.out_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="245" name="__module.vision_tower.vision_model.encoder.layers.2.self_attn.out_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="246" name="__module.vision_tower.vision_model.encoder.layers.2.self_attn.out_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="247" name="self.vision_tower.vision_model.encoder.layers.2.self_attn.out_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="46038772" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.2.self_attn.out_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="248" name="__module.vision_tower.vision_model.encoder.layers.2.self_attn.out_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="249" name="__module.vision_tower.vision_model.encoder.layers.2.self_attn.out_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="246,hidden_states.15">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="250" name="__module.vision_tower.vision_model.encoder.layers.2/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="247,residual.11">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="251" name="__module.vision_tower.vision_model.encoder.layers.2.layer_norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="252" name="__module.vision_tower.vision_model.encoder.layers.2.layer_norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="253" name="Constant_153353" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="46041076" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="254" name="__module.vision_tower.vision_model.encoder.layers.2.layer_norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="255" name="Constant_153354" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="46045684" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="256" name="__module.vision_tower.vision_model.encoder.layers.2.layer_norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="251">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="257" name="self.vision_tower.vision_model.encoder.layers.2.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4304, 1152" offset="46050292" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="258" name="Convert_1447824" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="259" name="self.vision_tower.vision_model.encoder.layers.2.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4304, 1" offset="51008500" size="8608" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="260" name="self.vision_tower.vision_model.encoder.layers.2.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="261" name="__module.vision_tower.vision_model.encoder.layers.2.mlp.fc1/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="262" name="__module.vision_tower.vision_model.encoder.layers.2.mlp.fc1/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="263" name="self.vision_tower.vision_model.encoder.layers.2.mlp.fc1.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="4304" offset="51017108" size="8608" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.2.mlp.fc1.bias">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="264" name="__module.vision_tower.vision_model.encoder.layers.2.mlp.fc1/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="265" name="__module.vision_tower.vision_model.encoder.layers.2.mlp.fc1/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="257">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="266" name="__module.vision_tower.vision_model.encoder.layers.2.mlp.activation_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="TANH" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="258">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="267" name="self.vision_tower.vision_model.encoder.layers.2.mlp.fc2.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 4304" offset="51025716" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="268" name="Convert_1452716" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="269" name="self.vision_tower.vision_model.encoder.layers.2.mlp.fc2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="55983924" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="270" name="self.vision_tower.vision_model.encoder.layers.2.mlp.fc2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="271" name="__module.vision_tower.vision_model.encoder.layers.2.mlp.fc2/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="272" name="__module.vision_tower.vision_model.encoder.layers.2.mlp.fc2/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="273" name="self.vision_tower.vision_model.encoder.layers.2.mlp.fc2.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="55986228" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.2.mlp.fc2.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="274" name="__module.vision_tower.vision_model.encoder.layers.2.mlp.fc2/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="275" name="__module.vision_tower.vision_model.encoder.layers.2.mlp.fc2/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="261,hidden_states.17">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="276" name="__module.vision_tower.vision_model.encoder.layers.2/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="262,residual.13">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="277" name="__module.vision_tower.vision_model.encoder.layers.3.layer_norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="278" name="__module.vision_tower.vision_model.encoder.layers.3.layer_norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="279" name="Constant_153355" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="55988532" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="280" name="__module.vision_tower.vision_model.encoder.layers.3.layer_norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="281" name="Constant_153356" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="55993140" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="282" name="__module.vision_tower.vision_model.encoder.layers.3.layer_norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="270,hidden_states.19">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="283" name="self.vision_tower.vision_model.encoder.layers.3.self_attn.q_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="55997748" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="284" name="Convert_1765734" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="285" name="self.vision_tower.vision_model.encoder.layers.3.self_attn.q_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="57324852" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="286" name="self.vision_tower.vision_model.encoder.layers.3.self_attn.q_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="287" name="__module.vision_tower.vision_model.encoder.layers.3.self_attn.q_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="288" name="__module.vision_tower.vision_model.encoder.layers.3.self_attn.q_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="289" name="self.vision_tower.vision_model.encoder.layers.3.self_attn.q_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="57327156" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.3.self_attn.q_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="290" name="__module.vision_tower.vision_model.encoder.layers.3.self_attn.q_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="291" name="__module.vision_tower.vision_model.encoder.layers.3.self_attn.q_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="279,query_states.7">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="292" name="Constant_153832" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="293" name="__module.vision_tower.vision_model.encoder.layers.3.self_attn/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="287">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="294" name="__module.vision_tower.vision_model.encoder.layers.3.self_attn/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="295" name="__module.vision_tower.vision_model.encoder.layers.3.self_attn/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="288">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="296" name="self.vision_tower.vision_model.encoder.layers.3.self_attn.k_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="57329460" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="297" name="Convert_1760842" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="298" name="self.vision_tower.vision_model.encoder.layers.3.self_attn.k_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="58656564" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="299" name="self.vision_tower.vision_model.encoder.layers.3.self_attn.k_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="300" name="__module.vision_tower.vision_model.encoder.layers.3.self_attn.k_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="301" name="__module.vision_tower.vision_model.encoder.layers.3.self_attn.k_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="302" name="self.vision_tower.vision_model.encoder.layers.3.self_attn.k_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="58658868" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.3.self_attn.k_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="303" name="__module.vision_tower.vision_model.encoder.layers.3.self_attn.k_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="304" name="__module.vision_tower.vision_model.encoder.layers.3.self_attn.k_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="282,key_states.7">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="305" name="Constant_153833" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="306" name="__module.vision_tower.vision_model.encoder.layers.3.self_attn/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="290">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="307" name="__module.vision_tower.vision_model.encoder.layers.3.self_attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="308" name="__module.vision_tower.vision_model.encoder.layers.3.self_attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="291">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="309" name="self.vision_tower.vision_model.encoder.layers.3.self_attn.v_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="58661172" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="310" name="Convert_1755950" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="311" name="self.vision_tower.vision_model.encoder.layers.3.self_attn.v_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="59988276" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="312" name="self.vision_tower.vision_model.encoder.layers.3.self_attn.v_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="313" name="__module.vision_tower.vision_model.encoder.layers.3.self_attn.v_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="314" name="__module.vision_tower.vision_model.encoder.layers.3.self_attn.v_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="315" name="self.vision_tower.vision_model.encoder.layers.3.self_attn.v_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="59990580" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.3.self_attn.v_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="316" name="__module.vision_tower.vision_model.encoder.layers.3.self_attn.v_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="317" name="__module.vision_tower.vision_model.encoder.layers.3.self_attn.v_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="285,value_states.7">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="318" name="Constant_153834" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="319" name="__module.vision_tower.vision_model.encoder.layers.3.self_attn/aten::view/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="293">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="320" name="__module.vision_tower.vision_model.encoder.layers.3.self_attn/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="321" name="__module.vision_tower.vision_model.encoder.layers.3.self_attn/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="294">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="322" name="__module.vision_tower.vision_model.encoder.layers.3.self_attn/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="295,attn_output.13">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="323" name="__module.vision_tower.vision_model.encoder.layers.3.self_attn/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="324" name="__module.vision_tower.vision_model.encoder.layers.3.self_attn/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="296">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="325" name="Constant_153835" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="14142300" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="326" name="__module.vision_tower.vision_model.encoder.layers.3.self_attn/aten::view/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="299">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="327" name="self.vision_tower.vision_model.encoder.layers.3.self_attn.out_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="59992884" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="328" name="Convert_1770626" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="329" name="self.vision_tower.vision_model.encoder.layers.3.self_attn.out_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="61319988" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="330" name="self.vision_tower.vision_model.encoder.layers.3.self_attn.out_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="331" name="__module.vision_tower.vision_model.encoder.layers.3.self_attn.out_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="332" name="__module.vision_tower.vision_model.encoder.layers.3.self_attn.out_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="333" name="self.vision_tower.vision_model.encoder.layers.3.self_attn.out_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="61322292" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.3.self_attn.out_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="334" name="__module.vision_tower.vision_model.encoder.layers.3.self_attn.out_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="335" name="__module.vision_tower.vision_model.encoder.layers.3.self_attn.out_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="302,hidden_states.21">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="336" name="__module.vision_tower.vision_model.encoder.layers.3/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="303,residual.15">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="337" name="__module.vision_tower.vision_model.encoder.layers.3.layer_norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="338" name="__module.vision_tower.vision_model.encoder.layers.3.layer_norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="339" name="Constant_153357" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="61324596" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="340" name="__module.vision_tower.vision_model.encoder.layers.3.layer_norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="341" name="Constant_153358" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="61329204" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="342" name="__module.vision_tower.vision_model.encoder.layers.3.layer_norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="307">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="343" name="self.vision_tower.vision_model.encoder.layers.3.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4304, 1152" offset="61333812" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="344" name="Convert_1457608" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="345" name="self.vision_tower.vision_model.encoder.layers.3.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4304, 1" offset="66292020" size="8608" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="346" name="self.vision_tower.vision_model.encoder.layers.3.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="347" name="__module.vision_tower.vision_model.encoder.layers.3.mlp.fc1/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="348" name="__module.vision_tower.vision_model.encoder.layers.3.mlp.fc1/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="349" name="self.vision_tower.vision_model.encoder.layers.3.mlp.fc1.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="4304" offset="66300628" size="8608" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.3.mlp.fc1.bias">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="350" name="__module.vision_tower.vision_model.encoder.layers.3.mlp.fc1/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="351" name="__module.vision_tower.vision_model.encoder.layers.3.mlp.fc1/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="313">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="352" name="__module.vision_tower.vision_model.encoder.layers.3.mlp.activation_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="TANH" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="314">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="353" name="self.vision_tower.vision_model.encoder.layers.3.mlp.fc2.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 4304" offset="66309236" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="354" name="Convert_1462500" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="355" name="self.vision_tower.vision_model.encoder.layers.3.mlp.fc2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="71267444" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="356" name="self.vision_tower.vision_model.encoder.layers.3.mlp.fc2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="357" name="__module.vision_tower.vision_model.encoder.layers.3.mlp.fc2/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="358" name="__module.vision_tower.vision_model.encoder.layers.3.mlp.fc2/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="359" name="self.vision_tower.vision_model.encoder.layers.3.mlp.fc2.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="71269748" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.3.mlp.fc2.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="360" name="__module.vision_tower.vision_model.encoder.layers.3.mlp.fc2/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="361" name="__module.vision_tower.vision_model.encoder.layers.3.mlp.fc2/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="317,hidden_states.23">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="362" name="__module.vision_tower.vision_model.encoder.layers.3/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="318,residual.17">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="363" name="__module.vision_tower.vision_model.encoder.layers.4.layer_norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="364" name="__module.vision_tower.vision_model.encoder.layers.4.layer_norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="365" name="Constant_153359" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="71272052" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="366" name="__module.vision_tower.vision_model.encoder.layers.4.layer_norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="367" name="Constant_153360" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="71276660" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="368" name="__module.vision_tower.vision_model.encoder.layers.4.layer_norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="326,hidden_states.25">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="369" name="self.vision_tower.vision_model.encoder.layers.4.self_attn.q_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="71281268" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="370" name="Convert_1785302" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="371" name="self.vision_tower.vision_model.encoder.layers.4.self_attn.q_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="72608372" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="372" name="self.vision_tower.vision_model.encoder.layers.4.self_attn.q_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="373" name="__module.vision_tower.vision_model.encoder.layers.4.self_attn.q_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="374" name="__module.vision_tower.vision_model.encoder.layers.4.self_attn.q_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="375" name="self.vision_tower.vision_model.encoder.layers.4.self_attn.q_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="72610676" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.4.self_attn.q_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="376" name="__module.vision_tower.vision_model.encoder.layers.4.self_attn.q_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="377" name="__module.vision_tower.vision_model.encoder.layers.4.self_attn.q_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="335,query_states.9">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="378" name="Constant_153836" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="379" name="__module.vision_tower.vision_model.encoder.layers.4.self_attn/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="343">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="380" name="__module.vision_tower.vision_model.encoder.layers.4.self_attn/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="381" name="__module.vision_tower.vision_model.encoder.layers.4.self_attn/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="344">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="382" name="self.vision_tower.vision_model.encoder.layers.4.self_attn.k_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="72612980" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="383" name="Convert_1780410" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="384" name="self.vision_tower.vision_model.encoder.layers.4.self_attn.k_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="73940084" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="385" name="self.vision_tower.vision_model.encoder.layers.4.self_attn.k_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="386" name="__module.vision_tower.vision_model.encoder.layers.4.self_attn.k_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="387" name="__module.vision_tower.vision_model.encoder.layers.4.self_attn.k_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="388" name="self.vision_tower.vision_model.encoder.layers.4.self_attn.k_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="73942388" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.4.self_attn.k_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="389" name="__module.vision_tower.vision_model.encoder.layers.4.self_attn.k_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="390" name="__module.vision_tower.vision_model.encoder.layers.4.self_attn.k_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="338,key_states.9">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="391" name="Constant_153837" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="392" name="__module.vision_tower.vision_model.encoder.layers.4.self_attn/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="346">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="393" name="__module.vision_tower.vision_model.encoder.layers.4.self_attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="394" name="__module.vision_tower.vision_model.encoder.layers.4.self_attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="347">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="395" name="self.vision_tower.vision_model.encoder.layers.4.self_attn.v_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="73944692" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="396" name="Convert_1775518" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="397" name="self.vision_tower.vision_model.encoder.layers.4.self_attn.v_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="75271796" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="398" name="self.vision_tower.vision_model.encoder.layers.4.self_attn.v_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="399" name="__module.vision_tower.vision_model.encoder.layers.4.self_attn.v_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="400" name="__module.vision_tower.vision_model.encoder.layers.4.self_attn.v_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="401" name="self.vision_tower.vision_model.encoder.layers.4.self_attn.v_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="75274100" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.4.self_attn.v_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="402" name="__module.vision_tower.vision_model.encoder.layers.4.self_attn.v_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="403" name="__module.vision_tower.vision_model.encoder.layers.4.self_attn.v_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="341,value_states.9">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="404" name="Constant_153838" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="405" name="__module.vision_tower.vision_model.encoder.layers.4.self_attn/aten::view/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="349">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="406" name="__module.vision_tower.vision_model.encoder.layers.4.self_attn/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="407" name="__module.vision_tower.vision_model.encoder.layers.4.self_attn/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="350">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="408" name="__module.vision_tower.vision_model.encoder.layers.4.self_attn/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="351,attn_output.17">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="409" name="__module.vision_tower.vision_model.encoder.layers.4.self_attn/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="410" name="__module.vision_tower.vision_model.encoder.layers.4.self_attn/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="352">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="411" name="Constant_153839" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="14142300" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="412" name="__module.vision_tower.vision_model.encoder.layers.4.self_attn/aten::view/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="355">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="413" name="self.vision_tower.vision_model.encoder.layers.4.self_attn.out_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="75276404" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="414" name="Convert_1790194" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="415" name="self.vision_tower.vision_model.encoder.layers.4.self_attn.out_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="76603508" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="416" name="self.vision_tower.vision_model.encoder.layers.4.self_attn.out_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="417" name="__module.vision_tower.vision_model.encoder.layers.4.self_attn.out_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="418" name="__module.vision_tower.vision_model.encoder.layers.4.self_attn.out_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="419" name="self.vision_tower.vision_model.encoder.layers.4.self_attn.out_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="76605812" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.4.self_attn.out_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="420" name="__module.vision_tower.vision_model.encoder.layers.4.self_attn.out_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="421" name="__module.vision_tower.vision_model.encoder.layers.4.self_attn.out_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="358,hidden_states.27">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="422" name="__module.vision_tower.vision_model.encoder.layers.4/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="359,residual.19">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="423" name="__module.vision_tower.vision_model.encoder.layers.4.layer_norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="424" name="__module.vision_tower.vision_model.encoder.layers.4.layer_norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="425" name="Constant_153361" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="76608116" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="426" name="__module.vision_tower.vision_model.encoder.layers.4.layer_norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="427" name="Constant_153362" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="76612724" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="428" name="__module.vision_tower.vision_model.encoder.layers.4.layer_norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="363">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="429" name="self.vision_tower.vision_model.encoder.layers.4.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4304, 1152" offset="76617332" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="430" name="Convert_1467392" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="431" name="self.vision_tower.vision_model.encoder.layers.4.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4304, 1" offset="81575540" size="8608" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="432" name="self.vision_tower.vision_model.encoder.layers.4.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="433" name="__module.vision_tower.vision_model.encoder.layers.4.mlp.fc1/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="434" name="__module.vision_tower.vision_model.encoder.layers.4.mlp.fc1/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="435" name="self.vision_tower.vision_model.encoder.layers.4.mlp.fc1.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="4304" offset="81584148" size="8608" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.4.mlp.fc1.bias">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="436" name="__module.vision_tower.vision_model.encoder.layers.4.mlp.fc1/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="437" name="__module.vision_tower.vision_model.encoder.layers.4.mlp.fc1/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="369">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="438" name="__module.vision_tower.vision_model.encoder.layers.4.mlp.activation_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="TANH" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="370">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="439" name="self.vision_tower.vision_model.encoder.layers.4.mlp.fc2.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 4304" offset="81592756" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="440" name="Convert_1472284" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="441" name="self.vision_tower.vision_model.encoder.layers.4.mlp.fc2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="86550964" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="442" name="self.vision_tower.vision_model.encoder.layers.4.mlp.fc2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="443" name="__module.vision_tower.vision_model.encoder.layers.4.mlp.fc2/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="444" name="__module.vision_tower.vision_model.encoder.layers.4.mlp.fc2/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="445" name="self.vision_tower.vision_model.encoder.layers.4.mlp.fc2.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="86553268" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.4.mlp.fc2.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="446" name="__module.vision_tower.vision_model.encoder.layers.4.mlp.fc2/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="447" name="__module.vision_tower.vision_model.encoder.layers.4.mlp.fc2/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="373,hidden_states.29">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="448" name="__module.vision_tower.vision_model.encoder.layers.4/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="374,residual.21">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="449" name="__module.vision_tower.vision_model.encoder.layers.5.layer_norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="450" name="__module.vision_tower.vision_model.encoder.layers.5.layer_norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="451" name="Constant_153363" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="86555572" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="452" name="__module.vision_tower.vision_model.encoder.layers.5.layer_norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="453" name="Constant_153364" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="86560180" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="454" name="__module.vision_tower.vision_model.encoder.layers.5.layer_norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="382,hidden_states.31">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="455" name="self.vision_tower.vision_model.encoder.layers.5.self_attn.q_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="86564788" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="456" name="Convert_1804870" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="457" name="self.vision_tower.vision_model.encoder.layers.5.self_attn.q_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="87891892" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="458" name="self.vision_tower.vision_model.encoder.layers.5.self_attn.q_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="459" name="__module.vision_tower.vision_model.encoder.layers.5.self_attn.q_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="460" name="__module.vision_tower.vision_model.encoder.layers.5.self_attn.q_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="461" name="self.vision_tower.vision_model.encoder.layers.5.self_attn.q_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="87894196" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.5.self_attn.q_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="462" name="__module.vision_tower.vision_model.encoder.layers.5.self_attn.q_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="463" name="__module.vision_tower.vision_model.encoder.layers.5.self_attn.q_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="391,query_states.11">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="464" name="Constant_153840" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="465" name="__module.vision_tower.vision_model.encoder.layers.5.self_attn/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="399">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="466" name="__module.vision_tower.vision_model.encoder.layers.5.self_attn/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="467" name="__module.vision_tower.vision_model.encoder.layers.5.self_attn/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="400">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="468" name="self.vision_tower.vision_model.encoder.layers.5.self_attn.k_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="87896500" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="469" name="Convert_1799978" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="470" name="self.vision_tower.vision_model.encoder.layers.5.self_attn.k_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="89223604" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="471" name="self.vision_tower.vision_model.encoder.layers.5.self_attn.k_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="472" name="__module.vision_tower.vision_model.encoder.layers.5.self_attn.k_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="473" name="__module.vision_tower.vision_model.encoder.layers.5.self_attn.k_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="474" name="self.vision_tower.vision_model.encoder.layers.5.self_attn.k_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="89225908" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.5.self_attn.k_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="475" name="__module.vision_tower.vision_model.encoder.layers.5.self_attn.k_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="476" name="__module.vision_tower.vision_model.encoder.layers.5.self_attn.k_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="394,key_states.11">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="477" name="Constant_153841" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="478" name="__module.vision_tower.vision_model.encoder.layers.5.self_attn/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="402">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="479" name="__module.vision_tower.vision_model.encoder.layers.5.self_attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="480" name="__module.vision_tower.vision_model.encoder.layers.5.self_attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="403">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="481" name="self.vision_tower.vision_model.encoder.layers.5.self_attn.v_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="89228212" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="482" name="Convert_1795086" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="483" name="self.vision_tower.vision_model.encoder.layers.5.self_attn.v_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="90555316" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="484" name="self.vision_tower.vision_model.encoder.layers.5.self_attn.v_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="485" name="__module.vision_tower.vision_model.encoder.layers.5.self_attn.v_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="486" name="__module.vision_tower.vision_model.encoder.layers.5.self_attn.v_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="487" name="self.vision_tower.vision_model.encoder.layers.5.self_attn.v_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="90557620" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.5.self_attn.v_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="488" name="__module.vision_tower.vision_model.encoder.layers.5.self_attn.v_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="489" name="__module.vision_tower.vision_model.encoder.layers.5.self_attn.v_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="397,value_states.11">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="490" name="Constant_153842" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="491" name="__module.vision_tower.vision_model.encoder.layers.5.self_attn/aten::view/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="405">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="492" name="__module.vision_tower.vision_model.encoder.layers.5.self_attn/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="493" name="__module.vision_tower.vision_model.encoder.layers.5.self_attn/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="406">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="494" name="__module.vision_tower.vision_model.encoder.layers.5.self_attn/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="407,attn_output.21">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="495" name="__module.vision_tower.vision_model.encoder.layers.5.self_attn/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="496" name="__module.vision_tower.vision_model.encoder.layers.5.self_attn/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="408">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="497" name="Constant_153843" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="14142300" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="498" name="__module.vision_tower.vision_model.encoder.layers.5.self_attn/aten::view/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="411">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="499" name="self.vision_tower.vision_model.encoder.layers.5.self_attn.out_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="90559924" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="500" name="Convert_1809762" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="501" name="self.vision_tower.vision_model.encoder.layers.5.self_attn.out_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="91887028" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="502" name="self.vision_tower.vision_model.encoder.layers.5.self_attn.out_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="503" name="__module.vision_tower.vision_model.encoder.layers.5.self_attn.out_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="504" name="__module.vision_tower.vision_model.encoder.layers.5.self_attn.out_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="505" name="self.vision_tower.vision_model.encoder.layers.5.self_attn.out_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="91889332" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.5.self_attn.out_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="506" name="__module.vision_tower.vision_model.encoder.layers.5.self_attn.out_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="507" name="__module.vision_tower.vision_model.encoder.layers.5.self_attn.out_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="414,hidden_states.33">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="508" name="__module.vision_tower.vision_model.encoder.layers.5/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="415,residual.23">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="509" name="__module.vision_tower.vision_model.encoder.layers.5.layer_norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="510" name="__module.vision_tower.vision_model.encoder.layers.5.layer_norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="511" name="Constant_153365" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="91891636" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="512" name="__module.vision_tower.vision_model.encoder.layers.5.layer_norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="513" name="Constant_153366" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="91896244" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="514" name="__module.vision_tower.vision_model.encoder.layers.5.layer_norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="419">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="515" name="self.vision_tower.vision_model.encoder.layers.5.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4304, 1152" offset="91900852" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="516" name="Convert_1477176" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="517" name="self.vision_tower.vision_model.encoder.layers.5.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4304, 1" offset="96859060" size="8608" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="518" name="self.vision_tower.vision_model.encoder.layers.5.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="519" name="__module.vision_tower.vision_model.encoder.layers.5.mlp.fc1/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="520" name="__module.vision_tower.vision_model.encoder.layers.5.mlp.fc1/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="521" name="self.vision_tower.vision_model.encoder.layers.5.mlp.fc1.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="4304" offset="96867668" size="8608" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.5.mlp.fc1.bias">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="522" name="__module.vision_tower.vision_model.encoder.layers.5.mlp.fc1/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="523" name="__module.vision_tower.vision_model.encoder.layers.5.mlp.fc1/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="425">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="524" name="__module.vision_tower.vision_model.encoder.layers.5.mlp.activation_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="TANH" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="426">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="525" name="self.vision_tower.vision_model.encoder.layers.5.mlp.fc2.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 4304" offset="96876276" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="526" name="Convert_1482068" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="527" name="self.vision_tower.vision_model.encoder.layers.5.mlp.fc2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="101834484" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="528" name="self.vision_tower.vision_model.encoder.layers.5.mlp.fc2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="529" name="__module.vision_tower.vision_model.encoder.layers.5.mlp.fc2/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="530" name="__module.vision_tower.vision_model.encoder.layers.5.mlp.fc2/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="531" name="self.vision_tower.vision_model.encoder.layers.5.mlp.fc2.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="101836788" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.5.mlp.fc2.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="532" name="__module.vision_tower.vision_model.encoder.layers.5.mlp.fc2/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="533" name="__module.vision_tower.vision_model.encoder.layers.5.mlp.fc2/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="429,hidden_states.35">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="534" name="__module.vision_tower.vision_model.encoder.layers.5/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="430,residual.25">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="535" name="__module.vision_tower.vision_model.encoder.layers.6.layer_norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="536" name="__module.vision_tower.vision_model.encoder.layers.6.layer_norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="537" name="Constant_153367" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="101839092" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="538" name="__module.vision_tower.vision_model.encoder.layers.6.layer_norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="539" name="Constant_153368" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="101843700" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="540" name="__module.vision_tower.vision_model.encoder.layers.6.layer_norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="438,hidden_states.37">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="541" name="self.vision_tower.vision_model.encoder.layers.6.self_attn.q_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="101848308" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="542" name="Convert_1824438" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="543" name="self.vision_tower.vision_model.encoder.layers.6.self_attn.q_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="103175412" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="544" name="self.vision_tower.vision_model.encoder.layers.6.self_attn.q_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="545" name="__module.vision_tower.vision_model.encoder.layers.6.self_attn.q_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="546" name="__module.vision_tower.vision_model.encoder.layers.6.self_attn.q_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="547" name="self.vision_tower.vision_model.encoder.layers.6.self_attn.q_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="103177716" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.6.self_attn.q_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="548" name="__module.vision_tower.vision_model.encoder.layers.6.self_attn.q_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="549" name="__module.vision_tower.vision_model.encoder.layers.6.self_attn.q_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="447,query_states.13">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="550" name="Constant_153844" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="551" name="__module.vision_tower.vision_model.encoder.layers.6.self_attn/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="455">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="552" name="__module.vision_tower.vision_model.encoder.layers.6.self_attn/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="553" name="__module.vision_tower.vision_model.encoder.layers.6.self_attn/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="456">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="554" name="self.vision_tower.vision_model.encoder.layers.6.self_attn.k_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="103180020" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="555" name="Convert_1819546" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="556" name="self.vision_tower.vision_model.encoder.layers.6.self_attn.k_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="104507124" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="557" name="self.vision_tower.vision_model.encoder.layers.6.self_attn.k_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="558" name="__module.vision_tower.vision_model.encoder.layers.6.self_attn.k_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="559" name="__module.vision_tower.vision_model.encoder.layers.6.self_attn.k_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="560" name="self.vision_tower.vision_model.encoder.layers.6.self_attn.k_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="104509428" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.6.self_attn.k_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="561" name="__module.vision_tower.vision_model.encoder.layers.6.self_attn.k_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="562" name="__module.vision_tower.vision_model.encoder.layers.6.self_attn.k_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="450,key_states.13">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="563" name="Constant_153845" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="564" name="__module.vision_tower.vision_model.encoder.layers.6.self_attn/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="458">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="565" name="__module.vision_tower.vision_model.encoder.layers.6.self_attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="566" name="__module.vision_tower.vision_model.encoder.layers.6.self_attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="459">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="567" name="self.vision_tower.vision_model.encoder.layers.6.self_attn.v_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="104511732" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="568" name="Convert_1814654" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="569" name="self.vision_tower.vision_model.encoder.layers.6.self_attn.v_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="105838836" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="570" name="self.vision_tower.vision_model.encoder.layers.6.self_attn.v_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="571" name="__module.vision_tower.vision_model.encoder.layers.6.self_attn.v_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="572" name="__module.vision_tower.vision_model.encoder.layers.6.self_attn.v_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="573" name="self.vision_tower.vision_model.encoder.layers.6.self_attn.v_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="105841140" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.6.self_attn.v_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="574" name="__module.vision_tower.vision_model.encoder.layers.6.self_attn.v_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="575" name="__module.vision_tower.vision_model.encoder.layers.6.self_attn.v_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="453,value_states.13">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="576" name="Constant_153846" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="577" name="__module.vision_tower.vision_model.encoder.layers.6.self_attn/aten::view/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="461">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="578" name="__module.vision_tower.vision_model.encoder.layers.6.self_attn/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="579" name="__module.vision_tower.vision_model.encoder.layers.6.self_attn/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="462">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="580" name="__module.vision_tower.vision_model.encoder.layers.6.self_attn/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="463,attn_output.25">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="581" name="__module.vision_tower.vision_model.encoder.layers.6.self_attn/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="582" name="__module.vision_tower.vision_model.encoder.layers.6.self_attn/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="464">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="583" name="Constant_153847" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="14142300" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="584" name="__module.vision_tower.vision_model.encoder.layers.6.self_attn/aten::view/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="467">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="585" name="self.vision_tower.vision_model.encoder.layers.6.self_attn.out_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="105843444" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="586" name="Convert_1829330" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="587" name="self.vision_tower.vision_model.encoder.layers.6.self_attn.out_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="107170548" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="588" name="self.vision_tower.vision_model.encoder.layers.6.self_attn.out_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="589" name="__module.vision_tower.vision_model.encoder.layers.6.self_attn.out_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="590" name="__module.vision_tower.vision_model.encoder.layers.6.self_attn.out_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="591" name="self.vision_tower.vision_model.encoder.layers.6.self_attn.out_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="107172852" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.6.self_attn.out_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="592" name="__module.vision_tower.vision_model.encoder.layers.6.self_attn.out_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="593" name="__module.vision_tower.vision_model.encoder.layers.6.self_attn.out_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="470,hidden_states.39">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="594" name="__module.vision_tower.vision_model.encoder.layers.6/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="471,residual.27">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="595" name="__module.vision_tower.vision_model.encoder.layers.6.layer_norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="596" name="__module.vision_tower.vision_model.encoder.layers.6.layer_norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="597" name="Constant_153369" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="107175156" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="598" name="__module.vision_tower.vision_model.encoder.layers.6.layer_norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="599" name="Constant_153370" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="107179764" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="600" name="__module.vision_tower.vision_model.encoder.layers.6.layer_norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="475">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="601" name="self.vision_tower.vision_model.encoder.layers.6.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4304, 1152" offset="107184372" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="602" name="Convert_1486960" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="603" name="self.vision_tower.vision_model.encoder.layers.6.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4304, 1" offset="112142580" size="8608" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="604" name="self.vision_tower.vision_model.encoder.layers.6.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="605" name="__module.vision_tower.vision_model.encoder.layers.6.mlp.fc1/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="606" name="__module.vision_tower.vision_model.encoder.layers.6.mlp.fc1/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="607" name="self.vision_tower.vision_model.encoder.layers.6.mlp.fc1.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="4304" offset="112151188" size="8608" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.6.mlp.fc1.bias">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="608" name="__module.vision_tower.vision_model.encoder.layers.6.mlp.fc1/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="609" name="__module.vision_tower.vision_model.encoder.layers.6.mlp.fc1/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="481">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="610" name="__module.vision_tower.vision_model.encoder.layers.6.mlp.activation_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="TANH" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="482">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="611" name="self.vision_tower.vision_model.encoder.layers.6.mlp.fc2.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 4304" offset="112159796" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="612" name="Convert_1491852" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="613" name="self.vision_tower.vision_model.encoder.layers.6.mlp.fc2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="117118004" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="614" name="self.vision_tower.vision_model.encoder.layers.6.mlp.fc2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="615" name="__module.vision_tower.vision_model.encoder.layers.6.mlp.fc2/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="616" name="__module.vision_tower.vision_model.encoder.layers.6.mlp.fc2/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="617" name="self.vision_tower.vision_model.encoder.layers.6.mlp.fc2.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="117120308" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.6.mlp.fc2.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="618" name="__module.vision_tower.vision_model.encoder.layers.6.mlp.fc2/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="619" name="__module.vision_tower.vision_model.encoder.layers.6.mlp.fc2/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="485,hidden_states.41">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="620" name="__module.vision_tower.vision_model.encoder.layers.6/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="486,residual.29">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="621" name="__module.vision_tower.vision_model.encoder.layers.7.layer_norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="622" name="__module.vision_tower.vision_model.encoder.layers.7.layer_norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="623" name="Constant_153371" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="117122612" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="624" name="__module.vision_tower.vision_model.encoder.layers.7.layer_norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="625" name="Constant_153372" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="117127220" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="626" name="__module.vision_tower.vision_model.encoder.layers.7.layer_norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="494,hidden_states.43">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="627" name="self.vision_tower.vision_model.encoder.layers.7.self_attn.q_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="117131828" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="628" name="Convert_1844006" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="629" name="self.vision_tower.vision_model.encoder.layers.7.self_attn.q_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="118458932" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="630" name="self.vision_tower.vision_model.encoder.layers.7.self_attn.q_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="631" name="__module.vision_tower.vision_model.encoder.layers.7.self_attn.q_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="632" name="__module.vision_tower.vision_model.encoder.layers.7.self_attn.q_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="633" name="self.vision_tower.vision_model.encoder.layers.7.self_attn.q_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="118461236" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.7.self_attn.q_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="634" name="__module.vision_tower.vision_model.encoder.layers.7.self_attn.q_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="635" name="__module.vision_tower.vision_model.encoder.layers.7.self_attn.q_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="503,query_states.15">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="636" name="Constant_153848" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="637" name="__module.vision_tower.vision_model.encoder.layers.7.self_attn/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="511">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="638" name="__module.vision_tower.vision_model.encoder.layers.7.self_attn/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="639" name="__module.vision_tower.vision_model.encoder.layers.7.self_attn/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="512">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="640" name="self.vision_tower.vision_model.encoder.layers.7.self_attn.k_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="118463540" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="641" name="Convert_1839114" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="642" name="self.vision_tower.vision_model.encoder.layers.7.self_attn.k_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="119790644" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="643" name="self.vision_tower.vision_model.encoder.layers.7.self_attn.k_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="644" name="__module.vision_tower.vision_model.encoder.layers.7.self_attn.k_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="645" name="__module.vision_tower.vision_model.encoder.layers.7.self_attn.k_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="646" name="self.vision_tower.vision_model.encoder.layers.7.self_attn.k_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="119792948" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.7.self_attn.k_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="647" name="__module.vision_tower.vision_model.encoder.layers.7.self_attn.k_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="648" name="__module.vision_tower.vision_model.encoder.layers.7.self_attn.k_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="506,key_states.15">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="649" name="Constant_153849" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="650" name="__module.vision_tower.vision_model.encoder.layers.7.self_attn/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="514">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="651" name="__module.vision_tower.vision_model.encoder.layers.7.self_attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="652" name="__module.vision_tower.vision_model.encoder.layers.7.self_attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="515">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="653" name="self.vision_tower.vision_model.encoder.layers.7.self_attn.v_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="119795252" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="654" name="Convert_1834222" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="655" name="self.vision_tower.vision_model.encoder.layers.7.self_attn.v_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="121122356" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="656" name="self.vision_tower.vision_model.encoder.layers.7.self_attn.v_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="657" name="__module.vision_tower.vision_model.encoder.layers.7.self_attn.v_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="658" name="__module.vision_tower.vision_model.encoder.layers.7.self_attn.v_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="659" name="self.vision_tower.vision_model.encoder.layers.7.self_attn.v_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="121124660" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.7.self_attn.v_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="660" name="__module.vision_tower.vision_model.encoder.layers.7.self_attn.v_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="661" name="__module.vision_tower.vision_model.encoder.layers.7.self_attn.v_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="509,value_states.15">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="662" name="Constant_153850" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="663" name="__module.vision_tower.vision_model.encoder.layers.7.self_attn/aten::view/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="517">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="664" name="__module.vision_tower.vision_model.encoder.layers.7.self_attn/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="665" name="__module.vision_tower.vision_model.encoder.layers.7.self_attn/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="518">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="666" name="__module.vision_tower.vision_model.encoder.layers.7.self_attn/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="519,attn_output.29">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="667" name="__module.vision_tower.vision_model.encoder.layers.7.self_attn/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="668" name="__module.vision_tower.vision_model.encoder.layers.7.self_attn/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="520">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="669" name="Constant_153851" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="14142300" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="670" name="__module.vision_tower.vision_model.encoder.layers.7.self_attn/aten::view/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="523">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="671" name="self.vision_tower.vision_model.encoder.layers.7.self_attn.out_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="121126964" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="672" name="Convert_1848898" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="673" name="self.vision_tower.vision_model.encoder.layers.7.self_attn.out_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="122454068" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="674" name="self.vision_tower.vision_model.encoder.layers.7.self_attn.out_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="675" name="__module.vision_tower.vision_model.encoder.layers.7.self_attn.out_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="676" name="__module.vision_tower.vision_model.encoder.layers.7.self_attn.out_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="677" name="self.vision_tower.vision_model.encoder.layers.7.self_attn.out_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="122456372" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.7.self_attn.out_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="678" name="__module.vision_tower.vision_model.encoder.layers.7.self_attn.out_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="679" name="__module.vision_tower.vision_model.encoder.layers.7.self_attn.out_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="526,hidden_states.45">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="680" name="__module.vision_tower.vision_model.encoder.layers.7/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="527,residual.31">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="681" name="__module.vision_tower.vision_model.encoder.layers.7.layer_norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="682" name="__module.vision_tower.vision_model.encoder.layers.7.layer_norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="683" name="Constant_153373" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="122458676" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="684" name="__module.vision_tower.vision_model.encoder.layers.7.layer_norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="685" name="Constant_153374" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="122463284" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="686" name="__module.vision_tower.vision_model.encoder.layers.7.layer_norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="531">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="687" name="self.vision_tower.vision_model.encoder.layers.7.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4304, 1152" offset="122467892" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="688" name="Convert_1496744" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="689" name="self.vision_tower.vision_model.encoder.layers.7.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4304, 1" offset="127426100" size="8608" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="690" name="self.vision_tower.vision_model.encoder.layers.7.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="691" name="__module.vision_tower.vision_model.encoder.layers.7.mlp.fc1/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="692" name="__module.vision_tower.vision_model.encoder.layers.7.mlp.fc1/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="693" name="self.vision_tower.vision_model.encoder.layers.7.mlp.fc1.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="4304" offset="127434708" size="8608" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.7.mlp.fc1.bias">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="694" name="__module.vision_tower.vision_model.encoder.layers.7.mlp.fc1/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="695" name="__module.vision_tower.vision_model.encoder.layers.7.mlp.fc1/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="537">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="696" name="__module.vision_tower.vision_model.encoder.layers.7.mlp.activation_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="TANH" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="538">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="697" name="self.vision_tower.vision_model.encoder.layers.7.mlp.fc2.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 4304" offset="127443316" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="698" name="Convert_1501636" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="699" name="self.vision_tower.vision_model.encoder.layers.7.mlp.fc2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="132401524" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="700" name="self.vision_tower.vision_model.encoder.layers.7.mlp.fc2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="701" name="__module.vision_tower.vision_model.encoder.layers.7.mlp.fc2/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="702" name="__module.vision_tower.vision_model.encoder.layers.7.mlp.fc2/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="703" name="self.vision_tower.vision_model.encoder.layers.7.mlp.fc2.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="132403828" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.7.mlp.fc2.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="704" name="__module.vision_tower.vision_model.encoder.layers.7.mlp.fc2/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="705" name="__module.vision_tower.vision_model.encoder.layers.7.mlp.fc2/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="541,hidden_states.47">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="706" name="__module.vision_tower.vision_model.encoder.layers.7/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="542,residual.33">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="707" name="__module.vision_tower.vision_model.encoder.layers.8.layer_norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="708" name="__module.vision_tower.vision_model.encoder.layers.8.layer_norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="709" name="Constant_153375" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="132406132" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="710" name="__module.vision_tower.vision_model.encoder.layers.8.layer_norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="711" name="Constant_153376" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="132410740" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="712" name="__module.vision_tower.vision_model.encoder.layers.8.layer_norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="550,hidden_states.49">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="713" name="self.vision_tower.vision_model.encoder.layers.8.self_attn.q_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="132415348" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="714" name="Convert_1863574" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="715" name="self.vision_tower.vision_model.encoder.layers.8.self_attn.q_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="133742452" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="716" name="self.vision_tower.vision_model.encoder.layers.8.self_attn.q_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="717" name="__module.vision_tower.vision_model.encoder.layers.8.self_attn.q_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="718" name="__module.vision_tower.vision_model.encoder.layers.8.self_attn.q_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="719" name="self.vision_tower.vision_model.encoder.layers.8.self_attn.q_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="133744756" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.8.self_attn.q_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="720" name="__module.vision_tower.vision_model.encoder.layers.8.self_attn.q_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="721" name="__module.vision_tower.vision_model.encoder.layers.8.self_attn.q_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="559,query_states.17">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="722" name="Constant_153852" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="723" name="__module.vision_tower.vision_model.encoder.layers.8.self_attn/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="567">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="724" name="__module.vision_tower.vision_model.encoder.layers.8.self_attn/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="725" name="__module.vision_tower.vision_model.encoder.layers.8.self_attn/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="568">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="726" name="self.vision_tower.vision_model.encoder.layers.8.self_attn.k_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="133747060" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="727" name="Convert_1858682" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="728" name="self.vision_tower.vision_model.encoder.layers.8.self_attn.k_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="135074164" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="729" name="self.vision_tower.vision_model.encoder.layers.8.self_attn.k_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="730" name="__module.vision_tower.vision_model.encoder.layers.8.self_attn.k_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="731" name="__module.vision_tower.vision_model.encoder.layers.8.self_attn.k_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="732" name="self.vision_tower.vision_model.encoder.layers.8.self_attn.k_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="135076468" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.8.self_attn.k_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="733" name="__module.vision_tower.vision_model.encoder.layers.8.self_attn.k_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="734" name="__module.vision_tower.vision_model.encoder.layers.8.self_attn.k_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="562,key_states.17">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="735" name="Constant_153853" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="736" name="__module.vision_tower.vision_model.encoder.layers.8.self_attn/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="570">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="737" name="__module.vision_tower.vision_model.encoder.layers.8.self_attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="738" name="__module.vision_tower.vision_model.encoder.layers.8.self_attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="571">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="739" name="self.vision_tower.vision_model.encoder.layers.8.self_attn.v_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="135078772" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="740" name="Convert_1853790" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="741" name="self.vision_tower.vision_model.encoder.layers.8.self_attn.v_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="136405876" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="742" name="self.vision_tower.vision_model.encoder.layers.8.self_attn.v_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="743" name="__module.vision_tower.vision_model.encoder.layers.8.self_attn.v_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="744" name="__module.vision_tower.vision_model.encoder.layers.8.self_attn.v_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="745" name="self.vision_tower.vision_model.encoder.layers.8.self_attn.v_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="136408180" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.8.self_attn.v_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="746" name="__module.vision_tower.vision_model.encoder.layers.8.self_attn.v_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="747" name="__module.vision_tower.vision_model.encoder.layers.8.self_attn.v_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="565,value_states.17">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="748" name="Constant_153854" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="749" name="__module.vision_tower.vision_model.encoder.layers.8.self_attn/aten::view/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="573">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="750" name="__module.vision_tower.vision_model.encoder.layers.8.self_attn/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="751" name="__module.vision_tower.vision_model.encoder.layers.8.self_attn/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="574">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="752" name="__module.vision_tower.vision_model.encoder.layers.8.self_attn/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="575,attn_output.33">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="753" name="__module.vision_tower.vision_model.encoder.layers.8.self_attn/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="754" name="__module.vision_tower.vision_model.encoder.layers.8.self_attn/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="576">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="755" name="Constant_153855" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="14142300" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="756" name="__module.vision_tower.vision_model.encoder.layers.8.self_attn/aten::view/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="579">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="757" name="self.vision_tower.vision_model.encoder.layers.8.self_attn.out_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="136410484" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="758" name="Convert_1868466" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="759" name="self.vision_tower.vision_model.encoder.layers.8.self_attn.out_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="137737588" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="760" name="self.vision_tower.vision_model.encoder.layers.8.self_attn.out_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="761" name="__module.vision_tower.vision_model.encoder.layers.8.self_attn.out_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="762" name="__module.vision_tower.vision_model.encoder.layers.8.self_attn.out_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="763" name="self.vision_tower.vision_model.encoder.layers.8.self_attn.out_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="137739892" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.8.self_attn.out_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="764" name="__module.vision_tower.vision_model.encoder.layers.8.self_attn.out_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="765" name="__module.vision_tower.vision_model.encoder.layers.8.self_attn.out_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="582,hidden_states.51">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="766" name="__module.vision_tower.vision_model.encoder.layers.8/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="583,residual.35">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="767" name="__module.vision_tower.vision_model.encoder.layers.8.layer_norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="768" name="__module.vision_tower.vision_model.encoder.layers.8.layer_norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="769" name="Constant_153377" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="137742196" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="770" name="__module.vision_tower.vision_model.encoder.layers.8.layer_norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="771" name="Constant_153378" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="137746804" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="772" name="__module.vision_tower.vision_model.encoder.layers.8.layer_norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="587">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="773" name="self.vision_tower.vision_model.encoder.layers.8.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4304, 1152" offset="137751412" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="774" name="Convert_1506528" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="775" name="self.vision_tower.vision_model.encoder.layers.8.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4304, 1" offset="142709620" size="8608" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="776" name="self.vision_tower.vision_model.encoder.layers.8.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="777" name="__module.vision_tower.vision_model.encoder.layers.8.mlp.fc1/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="778" name="__module.vision_tower.vision_model.encoder.layers.8.mlp.fc1/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="779" name="self.vision_tower.vision_model.encoder.layers.8.mlp.fc1.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="4304" offset="142718228" size="8608" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.8.mlp.fc1.bias">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="780" name="__module.vision_tower.vision_model.encoder.layers.8.mlp.fc1/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="781" name="__module.vision_tower.vision_model.encoder.layers.8.mlp.fc1/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="593">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="782" name="__module.vision_tower.vision_model.encoder.layers.8.mlp.activation_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="TANH" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="594">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="783" name="self.vision_tower.vision_model.encoder.layers.8.mlp.fc2.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 4304" offset="142726836" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="784" name="Convert_1511420" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="785" name="self.vision_tower.vision_model.encoder.layers.8.mlp.fc2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="147685044" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="786" name="self.vision_tower.vision_model.encoder.layers.8.mlp.fc2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="787" name="__module.vision_tower.vision_model.encoder.layers.8.mlp.fc2/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="788" name="__module.vision_tower.vision_model.encoder.layers.8.mlp.fc2/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="789" name="self.vision_tower.vision_model.encoder.layers.8.mlp.fc2.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="147687348" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.8.mlp.fc2.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="790" name="__module.vision_tower.vision_model.encoder.layers.8.mlp.fc2/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="791" name="__module.vision_tower.vision_model.encoder.layers.8.mlp.fc2/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="597,hidden_states.53">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="792" name="__module.vision_tower.vision_model.encoder.layers.8/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="598,residual.37">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="793" name="__module.vision_tower.vision_model.encoder.layers.9.layer_norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="794" name="__module.vision_tower.vision_model.encoder.layers.9.layer_norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="795" name="Constant_153379" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="147689652" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="796" name="__module.vision_tower.vision_model.encoder.layers.9.layer_norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="797" name="Constant_153380" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="147694260" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="798" name="__module.vision_tower.vision_model.encoder.layers.9.layer_norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="606,hidden_states.55">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="799" name="self.vision_tower.vision_model.encoder.layers.9.self_attn.q_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="147698868" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="800" name="Convert_1883142" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="801" name="self.vision_tower.vision_model.encoder.layers.9.self_attn.q_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="149025972" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="802" name="self.vision_tower.vision_model.encoder.layers.9.self_attn.q_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="803" name="__module.vision_tower.vision_model.encoder.layers.9.self_attn.q_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="804" name="__module.vision_tower.vision_model.encoder.layers.9.self_attn.q_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="805" name="self.vision_tower.vision_model.encoder.layers.9.self_attn.q_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="149028276" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.9.self_attn.q_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="806" name="__module.vision_tower.vision_model.encoder.layers.9.self_attn.q_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="807" name="__module.vision_tower.vision_model.encoder.layers.9.self_attn.q_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="615,query_states.19">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="808" name="Constant_153856" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="809" name="__module.vision_tower.vision_model.encoder.layers.9.self_attn/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="623">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="810" name="__module.vision_tower.vision_model.encoder.layers.9.self_attn/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="811" name="__module.vision_tower.vision_model.encoder.layers.9.self_attn/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="624">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="812" name="self.vision_tower.vision_model.encoder.layers.9.self_attn.k_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="149030580" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="813" name="Convert_1878250" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="814" name="self.vision_tower.vision_model.encoder.layers.9.self_attn.k_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="150357684" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="815" name="self.vision_tower.vision_model.encoder.layers.9.self_attn.k_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="816" name="__module.vision_tower.vision_model.encoder.layers.9.self_attn.k_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="817" name="__module.vision_tower.vision_model.encoder.layers.9.self_attn.k_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="818" name="self.vision_tower.vision_model.encoder.layers.9.self_attn.k_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="150359988" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.9.self_attn.k_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="819" name="__module.vision_tower.vision_model.encoder.layers.9.self_attn.k_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="820" name="__module.vision_tower.vision_model.encoder.layers.9.self_attn.k_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="618,key_states.19">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="821" name="Constant_153857" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="822" name="__module.vision_tower.vision_model.encoder.layers.9.self_attn/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="626">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="823" name="__module.vision_tower.vision_model.encoder.layers.9.self_attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="824" name="__module.vision_tower.vision_model.encoder.layers.9.self_attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="627">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="825" name="self.vision_tower.vision_model.encoder.layers.9.self_attn.v_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="150362292" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="826" name="Convert_1873358" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="827" name="self.vision_tower.vision_model.encoder.layers.9.self_attn.v_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="151689396" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="828" name="self.vision_tower.vision_model.encoder.layers.9.self_attn.v_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="829" name="__module.vision_tower.vision_model.encoder.layers.9.self_attn.v_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="830" name="__module.vision_tower.vision_model.encoder.layers.9.self_attn.v_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="831" name="self.vision_tower.vision_model.encoder.layers.9.self_attn.v_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="151691700" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.9.self_attn.v_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="832" name="__module.vision_tower.vision_model.encoder.layers.9.self_attn.v_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="833" name="__module.vision_tower.vision_model.encoder.layers.9.self_attn.v_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="621,value_states.19">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="834" name="Constant_153858" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="835" name="__module.vision_tower.vision_model.encoder.layers.9.self_attn/aten::view/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="629">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="836" name="__module.vision_tower.vision_model.encoder.layers.9.self_attn/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="837" name="__module.vision_tower.vision_model.encoder.layers.9.self_attn/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="630">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="838" name="__module.vision_tower.vision_model.encoder.layers.9.self_attn/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="631,attn_output.37">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="839" name="__module.vision_tower.vision_model.encoder.layers.9.self_attn/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="840" name="__module.vision_tower.vision_model.encoder.layers.9.self_attn/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="632">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="841" name="Constant_153859" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="14142300" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="842" name="__module.vision_tower.vision_model.encoder.layers.9.self_attn/aten::view/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="635">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="843" name="self.vision_tower.vision_model.encoder.layers.9.self_attn.out_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="151694004" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="844" name="Convert_1888034" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="845" name="self.vision_tower.vision_model.encoder.layers.9.self_attn.out_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="153021108" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="846" name="self.vision_tower.vision_model.encoder.layers.9.self_attn.out_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="847" name="__module.vision_tower.vision_model.encoder.layers.9.self_attn.out_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="848" name="__module.vision_tower.vision_model.encoder.layers.9.self_attn.out_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="849" name="self.vision_tower.vision_model.encoder.layers.9.self_attn.out_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="153023412" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.9.self_attn.out_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="850" name="__module.vision_tower.vision_model.encoder.layers.9.self_attn.out_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="851" name="__module.vision_tower.vision_model.encoder.layers.9.self_attn.out_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="638,hidden_states.57">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="852" name="__module.vision_tower.vision_model.encoder.layers.9/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="639,residual.39">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="853" name="__module.vision_tower.vision_model.encoder.layers.9.layer_norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="854" name="__module.vision_tower.vision_model.encoder.layers.9.layer_norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="855" name="Constant_153381" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="153025716" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="856" name="__module.vision_tower.vision_model.encoder.layers.9.layer_norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="857" name="Constant_153382" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="153030324" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="858" name="__module.vision_tower.vision_model.encoder.layers.9.layer_norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="643">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="859" name="self.vision_tower.vision_model.encoder.layers.9.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4304, 1152" offset="153034932" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="860" name="Convert_1516312" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="861" name="self.vision_tower.vision_model.encoder.layers.9.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4304, 1" offset="157993140" size="8608" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="862" name="self.vision_tower.vision_model.encoder.layers.9.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="863" name="__module.vision_tower.vision_model.encoder.layers.9.mlp.fc1/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="864" name="__module.vision_tower.vision_model.encoder.layers.9.mlp.fc1/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="865" name="self.vision_tower.vision_model.encoder.layers.9.mlp.fc1.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="4304" offset="158001748" size="8608" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.9.mlp.fc1.bias">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="866" name="__module.vision_tower.vision_model.encoder.layers.9.mlp.fc1/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="867" name="__module.vision_tower.vision_model.encoder.layers.9.mlp.fc1/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="649">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="868" name="__module.vision_tower.vision_model.encoder.layers.9.mlp.activation_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="TANH" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="650">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="869" name="self.vision_tower.vision_model.encoder.layers.9.mlp.fc2.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 4304" offset="158010356" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="870" name="Convert_1521204" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="871" name="self.vision_tower.vision_model.encoder.layers.9.mlp.fc2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="162968564" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="872" name="self.vision_tower.vision_model.encoder.layers.9.mlp.fc2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="873" name="__module.vision_tower.vision_model.encoder.layers.9.mlp.fc2/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="874" name="__module.vision_tower.vision_model.encoder.layers.9.mlp.fc2/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="875" name="self.vision_tower.vision_model.encoder.layers.9.mlp.fc2.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="162970868" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.9.mlp.fc2.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="876" name="__module.vision_tower.vision_model.encoder.layers.9.mlp.fc2/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="877" name="__module.vision_tower.vision_model.encoder.layers.9.mlp.fc2/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="653,hidden_states.59">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="878" name="__module.vision_tower.vision_model.encoder.layers.9/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="654,residual.41">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="879" name="__module.vision_tower.vision_model.encoder.layers.10.layer_norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="880" name="__module.vision_tower.vision_model.encoder.layers.10.layer_norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="881" name="Constant_153383" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="162973172" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="882" name="__module.vision_tower.vision_model.encoder.layers.10.layer_norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="883" name="Constant_153384" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="162977780" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="884" name="__module.vision_tower.vision_model.encoder.layers.10.layer_norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="662,hidden_states.61">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="885" name="self.vision_tower.vision_model.encoder.layers.10.self_attn.q_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="162982388" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="886" name="Convert_1902710" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="887" name="self.vision_tower.vision_model.encoder.layers.10.self_attn.q_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="164309492" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="888" name="self.vision_tower.vision_model.encoder.layers.10.self_attn.q_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="889" name="__module.vision_tower.vision_model.encoder.layers.10.self_attn.q_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="890" name="__module.vision_tower.vision_model.encoder.layers.10.self_attn.q_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="891" name="self.vision_tower.vision_model.encoder.layers.10.self_attn.q_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="164311796" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.10.self_attn.q_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="892" name="__module.vision_tower.vision_model.encoder.layers.10.self_attn.q_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="893" name="__module.vision_tower.vision_model.encoder.layers.10.self_attn.q_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="671,query_states.21">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="894" name="Constant_153860" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="895" name="__module.vision_tower.vision_model.encoder.layers.10.self_attn/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="679">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="896" name="__module.vision_tower.vision_model.encoder.layers.10.self_attn/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="897" name="__module.vision_tower.vision_model.encoder.layers.10.self_attn/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="680">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="898" name="self.vision_tower.vision_model.encoder.layers.10.self_attn.k_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="164314100" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="899" name="Convert_1897818" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="900" name="self.vision_tower.vision_model.encoder.layers.10.self_attn.k_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="165641204" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="901" name="self.vision_tower.vision_model.encoder.layers.10.self_attn.k_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="902" name="__module.vision_tower.vision_model.encoder.layers.10.self_attn.k_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="903" name="__module.vision_tower.vision_model.encoder.layers.10.self_attn.k_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="904" name="self.vision_tower.vision_model.encoder.layers.10.self_attn.k_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="165643508" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.10.self_attn.k_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="905" name="__module.vision_tower.vision_model.encoder.layers.10.self_attn.k_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="906" name="__module.vision_tower.vision_model.encoder.layers.10.self_attn.k_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="674,key_states.21">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="907" name="Constant_153861" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="908" name="__module.vision_tower.vision_model.encoder.layers.10.self_attn/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="682">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="909" name="__module.vision_tower.vision_model.encoder.layers.10.self_attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="910" name="__module.vision_tower.vision_model.encoder.layers.10.self_attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="683">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="911" name="self.vision_tower.vision_model.encoder.layers.10.self_attn.v_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="165645812" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="912" name="Convert_1892926" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="913" name="self.vision_tower.vision_model.encoder.layers.10.self_attn.v_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="166972916" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="914" name="self.vision_tower.vision_model.encoder.layers.10.self_attn.v_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="915" name="__module.vision_tower.vision_model.encoder.layers.10.self_attn.v_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="916" name="__module.vision_tower.vision_model.encoder.layers.10.self_attn.v_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="917" name="self.vision_tower.vision_model.encoder.layers.10.self_attn.v_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="166975220" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.10.self_attn.v_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="918" name="__module.vision_tower.vision_model.encoder.layers.10.self_attn.v_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="919" name="__module.vision_tower.vision_model.encoder.layers.10.self_attn.v_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="677,value_states.21">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="920" name="Constant_153862" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="921" name="__module.vision_tower.vision_model.encoder.layers.10.self_attn/aten::view/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="685">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="922" name="__module.vision_tower.vision_model.encoder.layers.10.self_attn/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="923" name="__module.vision_tower.vision_model.encoder.layers.10.self_attn/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="686">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="924" name="__module.vision_tower.vision_model.encoder.layers.10.self_attn/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="687,attn_output.41">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="925" name="__module.vision_tower.vision_model.encoder.layers.10.self_attn/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="926" name="__module.vision_tower.vision_model.encoder.layers.10.self_attn/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="688">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="927" name="Constant_153863" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="14142300" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="928" name="__module.vision_tower.vision_model.encoder.layers.10.self_attn/aten::view/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="691">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="929" name="self.vision_tower.vision_model.encoder.layers.10.self_attn.out_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="166977524" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="930" name="Convert_1907602" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="931" name="self.vision_tower.vision_model.encoder.layers.10.self_attn.out_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="168304628" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="932" name="self.vision_tower.vision_model.encoder.layers.10.self_attn.out_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="933" name="__module.vision_tower.vision_model.encoder.layers.10.self_attn.out_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="934" name="__module.vision_tower.vision_model.encoder.layers.10.self_attn.out_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="935" name="self.vision_tower.vision_model.encoder.layers.10.self_attn.out_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="168306932" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.10.self_attn.out_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="936" name="__module.vision_tower.vision_model.encoder.layers.10.self_attn.out_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="937" name="__module.vision_tower.vision_model.encoder.layers.10.self_attn.out_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="694,hidden_states.63">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="938" name="__module.vision_tower.vision_model.encoder.layers.10/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="695,residual.43">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="939" name="__module.vision_tower.vision_model.encoder.layers.10.layer_norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="940" name="__module.vision_tower.vision_model.encoder.layers.10.layer_norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="941" name="Constant_153385" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="168309236" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="942" name="__module.vision_tower.vision_model.encoder.layers.10.layer_norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="943" name="Constant_153386" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="168313844" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="944" name="__module.vision_tower.vision_model.encoder.layers.10.layer_norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="699">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="945" name="self.vision_tower.vision_model.encoder.layers.10.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4304, 1152" offset="168318452" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="946" name="Convert_1526096" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="947" name="self.vision_tower.vision_model.encoder.layers.10.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4304, 1" offset="173276660" size="8608" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="948" name="self.vision_tower.vision_model.encoder.layers.10.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="949" name="__module.vision_tower.vision_model.encoder.layers.10.mlp.fc1/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="950" name="__module.vision_tower.vision_model.encoder.layers.10.mlp.fc1/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="951" name="self.vision_tower.vision_model.encoder.layers.10.mlp.fc1.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="4304" offset="173285268" size="8608" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.10.mlp.fc1.bias">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="952" name="__module.vision_tower.vision_model.encoder.layers.10.mlp.fc1/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="953" name="__module.vision_tower.vision_model.encoder.layers.10.mlp.fc1/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="705">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="954" name="__module.vision_tower.vision_model.encoder.layers.10.mlp.activation_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="TANH" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="706">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="955" name="self.vision_tower.vision_model.encoder.layers.10.mlp.fc2.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 4304" offset="173293876" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="956" name="Convert_1530988" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="957" name="self.vision_tower.vision_model.encoder.layers.10.mlp.fc2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="178252084" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="958" name="self.vision_tower.vision_model.encoder.layers.10.mlp.fc2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="959" name="__module.vision_tower.vision_model.encoder.layers.10.mlp.fc2/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="960" name="__module.vision_tower.vision_model.encoder.layers.10.mlp.fc2/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="961" name="self.vision_tower.vision_model.encoder.layers.10.mlp.fc2.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="178254388" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.10.mlp.fc2.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="962" name="__module.vision_tower.vision_model.encoder.layers.10.mlp.fc2/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="963" name="__module.vision_tower.vision_model.encoder.layers.10.mlp.fc2/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="709,hidden_states.65">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="964" name="__module.vision_tower.vision_model.encoder.layers.10/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="710,residual.45">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="965" name="__module.vision_tower.vision_model.encoder.layers.11.layer_norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="966" name="__module.vision_tower.vision_model.encoder.layers.11.layer_norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="967" name="Constant_153387" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="178256692" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="968" name="__module.vision_tower.vision_model.encoder.layers.11.layer_norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="969" name="Constant_153388" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="178261300" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="970" name="__module.vision_tower.vision_model.encoder.layers.11.layer_norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="718,hidden_states.67">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="971" name="self.vision_tower.vision_model.encoder.layers.11.self_attn.q_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="178265908" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="972" name="Convert_1922278" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="973" name="self.vision_tower.vision_model.encoder.layers.11.self_attn.q_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="179593012" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="974" name="self.vision_tower.vision_model.encoder.layers.11.self_attn.q_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="975" name="__module.vision_tower.vision_model.encoder.layers.11.self_attn.q_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="976" name="__module.vision_tower.vision_model.encoder.layers.11.self_attn.q_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="977" name="self.vision_tower.vision_model.encoder.layers.11.self_attn.q_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="179595316" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.11.self_attn.q_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="978" name="__module.vision_tower.vision_model.encoder.layers.11.self_attn.q_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="979" name="__module.vision_tower.vision_model.encoder.layers.11.self_attn.q_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="727,query_states.23">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="980" name="Constant_153864" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="981" name="__module.vision_tower.vision_model.encoder.layers.11.self_attn/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="735">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="982" name="__module.vision_tower.vision_model.encoder.layers.11.self_attn/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="983" name="__module.vision_tower.vision_model.encoder.layers.11.self_attn/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="736">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="984" name="self.vision_tower.vision_model.encoder.layers.11.self_attn.k_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="179597620" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="985" name="Convert_1917386" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="986" name="self.vision_tower.vision_model.encoder.layers.11.self_attn.k_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="180924724" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="987" name="self.vision_tower.vision_model.encoder.layers.11.self_attn.k_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="988" name="__module.vision_tower.vision_model.encoder.layers.11.self_attn.k_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="989" name="__module.vision_tower.vision_model.encoder.layers.11.self_attn.k_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="990" name="self.vision_tower.vision_model.encoder.layers.11.self_attn.k_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="180927028" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.11.self_attn.k_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="991" name="__module.vision_tower.vision_model.encoder.layers.11.self_attn.k_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="992" name="__module.vision_tower.vision_model.encoder.layers.11.self_attn.k_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="730,key_states.23">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="993" name="Constant_153865" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="994" name="__module.vision_tower.vision_model.encoder.layers.11.self_attn/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="738">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="995" name="__module.vision_tower.vision_model.encoder.layers.11.self_attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="996" name="__module.vision_tower.vision_model.encoder.layers.11.self_attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="739">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="997" name="self.vision_tower.vision_model.encoder.layers.11.self_attn.v_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="180929332" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="998" name="Convert_1912494" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="999" name="self.vision_tower.vision_model.encoder.layers.11.self_attn.v_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="182256436" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1000" name="self.vision_tower.vision_model.encoder.layers.11.self_attn.v_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1001" name="__module.vision_tower.vision_model.encoder.layers.11.self_attn.v_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1002" name="__module.vision_tower.vision_model.encoder.layers.11.self_attn.v_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1003" name="self.vision_tower.vision_model.encoder.layers.11.self_attn.v_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="182258740" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.11.self_attn.v_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1004" name="__module.vision_tower.vision_model.encoder.layers.11.self_attn.v_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1005" name="__module.vision_tower.vision_model.encoder.layers.11.self_attn.v_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="733,value_states.23">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1006" name="Constant_153866" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1007" name="__module.vision_tower.vision_model.encoder.layers.11.self_attn/aten::view/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="741">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1008" name="__module.vision_tower.vision_model.encoder.layers.11.self_attn/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1009" name="__module.vision_tower.vision_model.encoder.layers.11.self_attn/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="742">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1010" name="__module.vision_tower.vision_model.encoder.layers.11.self_attn/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="743,attn_output.45">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1011" name="__module.vision_tower.vision_model.encoder.layers.11.self_attn/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1012" name="__module.vision_tower.vision_model.encoder.layers.11.self_attn/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="744">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1013" name="Constant_153867" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="14142300" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1014" name="__module.vision_tower.vision_model.encoder.layers.11.self_attn/aten::view/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="747">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1015" name="self.vision_tower.vision_model.encoder.layers.11.self_attn.out_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="182261044" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1016" name="Convert_1927170" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1017" name="self.vision_tower.vision_model.encoder.layers.11.self_attn.out_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="183588148" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1018" name="self.vision_tower.vision_model.encoder.layers.11.self_attn.out_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1019" name="__module.vision_tower.vision_model.encoder.layers.11.self_attn.out_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1020" name="__module.vision_tower.vision_model.encoder.layers.11.self_attn.out_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1021" name="self.vision_tower.vision_model.encoder.layers.11.self_attn.out_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="183590452" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.11.self_attn.out_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1022" name="__module.vision_tower.vision_model.encoder.layers.11.self_attn.out_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1023" name="__module.vision_tower.vision_model.encoder.layers.11.self_attn.out_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="750,hidden_states.69">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1024" name="__module.vision_tower.vision_model.encoder.layers.11/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="751,residual.47">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1025" name="__module.vision_tower.vision_model.encoder.layers.11.layer_norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1026" name="__module.vision_tower.vision_model.encoder.layers.11.layer_norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1027" name="Constant_153389" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="183592756" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1028" name="__module.vision_tower.vision_model.encoder.layers.11.layer_norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1029" name="Constant_153390" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="183597364" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1030" name="__module.vision_tower.vision_model.encoder.layers.11.layer_norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="755">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1031" name="self.vision_tower.vision_model.encoder.layers.11.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4304, 1152" offset="183601972" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1032" name="Convert_1535880" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1033" name="self.vision_tower.vision_model.encoder.layers.11.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4304, 1" offset="188560180" size="8608" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1034" name="self.vision_tower.vision_model.encoder.layers.11.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1035" name="__module.vision_tower.vision_model.encoder.layers.11.mlp.fc1/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1036" name="__module.vision_tower.vision_model.encoder.layers.11.mlp.fc1/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1037" name="self.vision_tower.vision_model.encoder.layers.11.mlp.fc1.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="4304" offset="188568788" size="8608" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.11.mlp.fc1.bias">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1038" name="__module.vision_tower.vision_model.encoder.layers.11.mlp.fc1/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1039" name="__module.vision_tower.vision_model.encoder.layers.11.mlp.fc1/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="761">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1040" name="__module.vision_tower.vision_model.encoder.layers.11.mlp.activation_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="TANH" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="762">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1041" name="self.vision_tower.vision_model.encoder.layers.11.mlp.fc2.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 4304" offset="188577396" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1042" name="Convert_1540772" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1043" name="self.vision_tower.vision_model.encoder.layers.11.mlp.fc2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="193535604" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1044" name="self.vision_tower.vision_model.encoder.layers.11.mlp.fc2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1045" name="__module.vision_tower.vision_model.encoder.layers.11.mlp.fc2/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1046" name="__module.vision_tower.vision_model.encoder.layers.11.mlp.fc2/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1047" name="self.vision_tower.vision_model.encoder.layers.11.mlp.fc2.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="193537908" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.11.mlp.fc2.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1048" name="__module.vision_tower.vision_model.encoder.layers.11.mlp.fc2/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1049" name="__module.vision_tower.vision_model.encoder.layers.11.mlp.fc2/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="765,hidden_states.71">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1050" name="__module.vision_tower.vision_model.encoder.layers.11/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="766,residual.49">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1051" name="__module.vision_tower.vision_model.encoder.layers.12.layer_norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1052" name="__module.vision_tower.vision_model.encoder.layers.12.layer_norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1053" name="Constant_153391" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="193540212" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1054" name="__module.vision_tower.vision_model.encoder.layers.12.layer_norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1055" name="Constant_153392" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="193544820" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1056" name="__module.vision_tower.vision_model.encoder.layers.12.layer_norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="774,hidden_states.73">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1057" name="self.vision_tower.vision_model.encoder.layers.12.self_attn.q_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="193549428" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1058" name="Convert_1941846" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1059" name="self.vision_tower.vision_model.encoder.layers.12.self_attn.q_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="194876532" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1060" name="self.vision_tower.vision_model.encoder.layers.12.self_attn.q_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1061" name="__module.vision_tower.vision_model.encoder.layers.12.self_attn.q_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1062" name="__module.vision_tower.vision_model.encoder.layers.12.self_attn.q_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1063" name="self.vision_tower.vision_model.encoder.layers.12.self_attn.q_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="194878836" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.12.self_attn.q_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1064" name="__module.vision_tower.vision_model.encoder.layers.12.self_attn.q_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1065" name="__module.vision_tower.vision_model.encoder.layers.12.self_attn.q_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="783,query_states.25">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1066" name="Constant_153868" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1067" name="__module.vision_tower.vision_model.encoder.layers.12.self_attn/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="791">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1068" name="__module.vision_tower.vision_model.encoder.layers.12.self_attn/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1069" name="__module.vision_tower.vision_model.encoder.layers.12.self_attn/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="792">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1070" name="self.vision_tower.vision_model.encoder.layers.12.self_attn.k_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="194881140" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1071" name="Convert_1936954" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1072" name="self.vision_tower.vision_model.encoder.layers.12.self_attn.k_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="196208244" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1073" name="self.vision_tower.vision_model.encoder.layers.12.self_attn.k_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1074" name="__module.vision_tower.vision_model.encoder.layers.12.self_attn.k_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1075" name="__module.vision_tower.vision_model.encoder.layers.12.self_attn.k_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1076" name="self.vision_tower.vision_model.encoder.layers.12.self_attn.k_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="196210548" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.12.self_attn.k_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1077" name="__module.vision_tower.vision_model.encoder.layers.12.self_attn.k_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1078" name="__module.vision_tower.vision_model.encoder.layers.12.self_attn.k_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="786,key_states.25">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1079" name="Constant_153869" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1080" name="__module.vision_tower.vision_model.encoder.layers.12.self_attn/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="794">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1081" name="__module.vision_tower.vision_model.encoder.layers.12.self_attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1082" name="__module.vision_tower.vision_model.encoder.layers.12.self_attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="795">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1083" name="self.vision_tower.vision_model.encoder.layers.12.self_attn.v_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="196212852" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1084" name="Convert_1932062" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1085" name="self.vision_tower.vision_model.encoder.layers.12.self_attn.v_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="197539956" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1086" name="self.vision_tower.vision_model.encoder.layers.12.self_attn.v_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1087" name="__module.vision_tower.vision_model.encoder.layers.12.self_attn.v_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1088" name="__module.vision_tower.vision_model.encoder.layers.12.self_attn.v_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1089" name="self.vision_tower.vision_model.encoder.layers.12.self_attn.v_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="197542260" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.12.self_attn.v_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1090" name="__module.vision_tower.vision_model.encoder.layers.12.self_attn.v_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1091" name="__module.vision_tower.vision_model.encoder.layers.12.self_attn.v_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="789,value_states.25">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1092" name="Constant_153870" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1093" name="__module.vision_tower.vision_model.encoder.layers.12.self_attn/aten::view/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="797">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1094" name="__module.vision_tower.vision_model.encoder.layers.12.self_attn/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1095" name="__module.vision_tower.vision_model.encoder.layers.12.self_attn/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="798">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1096" name="__module.vision_tower.vision_model.encoder.layers.12.self_attn/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="799,attn_output.49">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1097" name="__module.vision_tower.vision_model.encoder.layers.12.self_attn/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1098" name="__module.vision_tower.vision_model.encoder.layers.12.self_attn/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="800">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1099" name="Constant_153871" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="14142300" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1100" name="__module.vision_tower.vision_model.encoder.layers.12.self_attn/aten::view/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="803">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1101" name="self.vision_tower.vision_model.encoder.layers.12.self_attn.out_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="197544564" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1102" name="Convert_1946738" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1103" name="self.vision_tower.vision_model.encoder.layers.12.self_attn.out_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="198871668" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1104" name="self.vision_tower.vision_model.encoder.layers.12.self_attn.out_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1105" name="__module.vision_tower.vision_model.encoder.layers.12.self_attn.out_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1106" name="__module.vision_tower.vision_model.encoder.layers.12.self_attn.out_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1107" name="self.vision_tower.vision_model.encoder.layers.12.self_attn.out_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="198873972" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.12.self_attn.out_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1108" name="__module.vision_tower.vision_model.encoder.layers.12.self_attn.out_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1109" name="__module.vision_tower.vision_model.encoder.layers.12.self_attn.out_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="806,hidden_states.75">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1110" name="__module.vision_tower.vision_model.encoder.layers.12/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="807,residual.51">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1111" name="__module.vision_tower.vision_model.encoder.layers.12.layer_norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1112" name="__module.vision_tower.vision_model.encoder.layers.12.layer_norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1113" name="Constant_153393" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="198876276" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1114" name="__module.vision_tower.vision_model.encoder.layers.12.layer_norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1115" name="Constant_153394" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="198880884" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1116" name="__module.vision_tower.vision_model.encoder.layers.12.layer_norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="811">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1117" name="self.vision_tower.vision_model.encoder.layers.12.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4304, 1152" offset="198885492" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1118" name="Convert_1545664" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1119" name="self.vision_tower.vision_model.encoder.layers.12.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4304, 1" offset="203843700" size="8608" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1120" name="self.vision_tower.vision_model.encoder.layers.12.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1121" name="__module.vision_tower.vision_model.encoder.layers.12.mlp.fc1/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1122" name="__module.vision_tower.vision_model.encoder.layers.12.mlp.fc1/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1123" name="self.vision_tower.vision_model.encoder.layers.12.mlp.fc1.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="4304" offset="203852308" size="8608" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.12.mlp.fc1.bias">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1124" name="__module.vision_tower.vision_model.encoder.layers.12.mlp.fc1/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1125" name="__module.vision_tower.vision_model.encoder.layers.12.mlp.fc1/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="817">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1126" name="__module.vision_tower.vision_model.encoder.layers.12.mlp.activation_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="TANH" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="818">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1127" name="self.vision_tower.vision_model.encoder.layers.12.mlp.fc2.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 4304" offset="203860916" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1128" name="Convert_1550556" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1129" name="self.vision_tower.vision_model.encoder.layers.12.mlp.fc2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="208819124" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1130" name="self.vision_tower.vision_model.encoder.layers.12.mlp.fc2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1131" name="__module.vision_tower.vision_model.encoder.layers.12.mlp.fc2/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1132" name="__module.vision_tower.vision_model.encoder.layers.12.mlp.fc2/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1133" name="self.vision_tower.vision_model.encoder.layers.12.mlp.fc2.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="208821428" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.12.mlp.fc2.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1134" name="__module.vision_tower.vision_model.encoder.layers.12.mlp.fc2/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1135" name="__module.vision_tower.vision_model.encoder.layers.12.mlp.fc2/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="821,hidden_states.77">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1136" name="__module.vision_tower.vision_model.encoder.layers.12/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="822,residual.53">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1137" name="__module.vision_tower.vision_model.encoder.layers.13.layer_norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1138" name="__module.vision_tower.vision_model.encoder.layers.13.layer_norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1139" name="Constant_153395" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="208823732" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1140" name="__module.vision_tower.vision_model.encoder.layers.13.layer_norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1141" name="Constant_153396" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="208828340" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1142" name="__module.vision_tower.vision_model.encoder.layers.13.layer_norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="830,hidden_states.79">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1143" name="self.vision_tower.vision_model.encoder.layers.13.self_attn.q_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="208832948" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1144" name="Convert_1961414" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1145" name="self.vision_tower.vision_model.encoder.layers.13.self_attn.q_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="210160052" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1146" name="self.vision_tower.vision_model.encoder.layers.13.self_attn.q_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1147" name="__module.vision_tower.vision_model.encoder.layers.13.self_attn.q_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1148" name="__module.vision_tower.vision_model.encoder.layers.13.self_attn.q_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1149" name="self.vision_tower.vision_model.encoder.layers.13.self_attn.q_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="210162356" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.13.self_attn.q_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1150" name="__module.vision_tower.vision_model.encoder.layers.13.self_attn.q_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1151" name="__module.vision_tower.vision_model.encoder.layers.13.self_attn.q_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="839,query_states.27">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1152" name="Constant_153872" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1153" name="__module.vision_tower.vision_model.encoder.layers.13.self_attn/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="847">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1154" name="__module.vision_tower.vision_model.encoder.layers.13.self_attn/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1155" name="__module.vision_tower.vision_model.encoder.layers.13.self_attn/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="848">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1156" name="self.vision_tower.vision_model.encoder.layers.13.self_attn.k_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="210164660" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1157" name="Convert_1956522" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1158" name="self.vision_tower.vision_model.encoder.layers.13.self_attn.k_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="211491764" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1159" name="self.vision_tower.vision_model.encoder.layers.13.self_attn.k_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1160" name="__module.vision_tower.vision_model.encoder.layers.13.self_attn.k_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1161" name="__module.vision_tower.vision_model.encoder.layers.13.self_attn.k_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1162" name="self.vision_tower.vision_model.encoder.layers.13.self_attn.k_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="211494068" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.13.self_attn.k_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1163" name="__module.vision_tower.vision_model.encoder.layers.13.self_attn.k_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1164" name="__module.vision_tower.vision_model.encoder.layers.13.self_attn.k_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="842,key_states.27">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1165" name="Constant_153873" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1166" name="__module.vision_tower.vision_model.encoder.layers.13.self_attn/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="850">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1167" name="__module.vision_tower.vision_model.encoder.layers.13.self_attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1168" name="__module.vision_tower.vision_model.encoder.layers.13.self_attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="851">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1169" name="self.vision_tower.vision_model.encoder.layers.13.self_attn.v_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="211496372" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1170" name="Convert_1951630" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1171" name="self.vision_tower.vision_model.encoder.layers.13.self_attn.v_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="212823476" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1172" name="self.vision_tower.vision_model.encoder.layers.13.self_attn.v_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1173" name="__module.vision_tower.vision_model.encoder.layers.13.self_attn.v_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1174" name="__module.vision_tower.vision_model.encoder.layers.13.self_attn.v_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1175" name="self.vision_tower.vision_model.encoder.layers.13.self_attn.v_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="212825780" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.13.self_attn.v_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1176" name="__module.vision_tower.vision_model.encoder.layers.13.self_attn.v_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1177" name="__module.vision_tower.vision_model.encoder.layers.13.self_attn.v_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="845,value_states.27">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1178" name="Constant_153874" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1179" name="__module.vision_tower.vision_model.encoder.layers.13.self_attn/aten::view/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="853">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1180" name="__module.vision_tower.vision_model.encoder.layers.13.self_attn/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1181" name="__module.vision_tower.vision_model.encoder.layers.13.self_attn/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="854">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1182" name="__module.vision_tower.vision_model.encoder.layers.13.self_attn/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="855,attn_output.53">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1183" name="__module.vision_tower.vision_model.encoder.layers.13.self_attn/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1184" name="__module.vision_tower.vision_model.encoder.layers.13.self_attn/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="856">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1185" name="Constant_153875" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="14142300" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1186" name="__module.vision_tower.vision_model.encoder.layers.13.self_attn/aten::view/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="859">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1187" name="self.vision_tower.vision_model.encoder.layers.13.self_attn.out_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="212828084" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1188" name="Convert_1966306" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1189" name="self.vision_tower.vision_model.encoder.layers.13.self_attn.out_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="214155188" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1190" name="self.vision_tower.vision_model.encoder.layers.13.self_attn.out_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1191" name="__module.vision_tower.vision_model.encoder.layers.13.self_attn.out_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1192" name="__module.vision_tower.vision_model.encoder.layers.13.self_attn.out_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1193" name="self.vision_tower.vision_model.encoder.layers.13.self_attn.out_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="214157492" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.13.self_attn.out_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1194" name="__module.vision_tower.vision_model.encoder.layers.13.self_attn.out_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1195" name="__module.vision_tower.vision_model.encoder.layers.13.self_attn.out_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="862,hidden_states.81">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1196" name="__module.vision_tower.vision_model.encoder.layers.13/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="863,residual.55">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1197" name="__module.vision_tower.vision_model.encoder.layers.13.layer_norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1198" name="__module.vision_tower.vision_model.encoder.layers.13.layer_norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1199" name="Constant_153397" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="214159796" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1200" name="__module.vision_tower.vision_model.encoder.layers.13.layer_norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1201" name="Constant_153398" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="214164404" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1202" name="__module.vision_tower.vision_model.encoder.layers.13.layer_norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="867">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1203" name="self.vision_tower.vision_model.encoder.layers.13.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4304, 1152" offset="214169012" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1204" name="Convert_1555448" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1205" name="self.vision_tower.vision_model.encoder.layers.13.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4304, 1" offset="219127220" size="8608" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1206" name="self.vision_tower.vision_model.encoder.layers.13.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1207" name="__module.vision_tower.vision_model.encoder.layers.13.mlp.fc1/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1208" name="__module.vision_tower.vision_model.encoder.layers.13.mlp.fc1/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1209" name="self.vision_tower.vision_model.encoder.layers.13.mlp.fc1.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="4304" offset="219135828" size="8608" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.13.mlp.fc1.bias">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1210" name="__module.vision_tower.vision_model.encoder.layers.13.mlp.fc1/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1211" name="__module.vision_tower.vision_model.encoder.layers.13.mlp.fc1/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="873">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1212" name="__module.vision_tower.vision_model.encoder.layers.13.mlp.activation_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="TANH" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="874">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1213" name="self.vision_tower.vision_model.encoder.layers.13.mlp.fc2.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 4304" offset="219144436" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1214" name="Convert_1560340" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1215" name="self.vision_tower.vision_model.encoder.layers.13.mlp.fc2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="224102644" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1216" name="self.vision_tower.vision_model.encoder.layers.13.mlp.fc2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1217" name="__module.vision_tower.vision_model.encoder.layers.13.mlp.fc2/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1218" name="__module.vision_tower.vision_model.encoder.layers.13.mlp.fc2/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1219" name="self.vision_tower.vision_model.encoder.layers.13.mlp.fc2.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="224104948" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.13.mlp.fc2.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1220" name="__module.vision_tower.vision_model.encoder.layers.13.mlp.fc2/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1221" name="__module.vision_tower.vision_model.encoder.layers.13.mlp.fc2/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="877,hidden_states.83">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1222" name="__module.vision_tower.vision_model.encoder.layers.13/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="878,residual.57">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1223" name="__module.vision_tower.vision_model.encoder.layers.14.layer_norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1224" name="__module.vision_tower.vision_model.encoder.layers.14.layer_norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1225" name="Constant_153399" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="224107252" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1226" name="__module.vision_tower.vision_model.encoder.layers.14.layer_norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1227" name="Constant_153400" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="224111860" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1228" name="__module.vision_tower.vision_model.encoder.layers.14.layer_norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="886,hidden_states.85">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1229" name="self.vision_tower.vision_model.encoder.layers.14.self_attn.q_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="224116468" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1230" name="Convert_1980982" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1231" name="self.vision_tower.vision_model.encoder.layers.14.self_attn.q_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="225443572" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1232" name="self.vision_tower.vision_model.encoder.layers.14.self_attn.q_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1233" name="__module.vision_tower.vision_model.encoder.layers.14.self_attn.q_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1234" name="__module.vision_tower.vision_model.encoder.layers.14.self_attn.q_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1235" name="self.vision_tower.vision_model.encoder.layers.14.self_attn.q_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="225445876" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.14.self_attn.q_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1236" name="__module.vision_tower.vision_model.encoder.layers.14.self_attn.q_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1237" name="__module.vision_tower.vision_model.encoder.layers.14.self_attn.q_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="895,query_states.29">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1238" name="Constant_153876" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1239" name="__module.vision_tower.vision_model.encoder.layers.14.self_attn/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="903">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1240" name="__module.vision_tower.vision_model.encoder.layers.14.self_attn/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1241" name="__module.vision_tower.vision_model.encoder.layers.14.self_attn/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="904">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1242" name="self.vision_tower.vision_model.encoder.layers.14.self_attn.k_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="225448180" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1243" name="Convert_1976090" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1244" name="self.vision_tower.vision_model.encoder.layers.14.self_attn.k_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="226775284" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1245" name="self.vision_tower.vision_model.encoder.layers.14.self_attn.k_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1246" name="__module.vision_tower.vision_model.encoder.layers.14.self_attn.k_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1247" name="__module.vision_tower.vision_model.encoder.layers.14.self_attn.k_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1248" name="self.vision_tower.vision_model.encoder.layers.14.self_attn.k_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="226777588" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.14.self_attn.k_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1249" name="__module.vision_tower.vision_model.encoder.layers.14.self_attn.k_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1250" name="__module.vision_tower.vision_model.encoder.layers.14.self_attn.k_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="898,key_states.29">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1251" name="Constant_153877" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1252" name="__module.vision_tower.vision_model.encoder.layers.14.self_attn/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="906">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1253" name="__module.vision_tower.vision_model.encoder.layers.14.self_attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1254" name="__module.vision_tower.vision_model.encoder.layers.14.self_attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="907">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1255" name="self.vision_tower.vision_model.encoder.layers.14.self_attn.v_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="226779892" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1256" name="Convert_1971198" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1257" name="self.vision_tower.vision_model.encoder.layers.14.self_attn.v_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="228106996" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1258" name="self.vision_tower.vision_model.encoder.layers.14.self_attn.v_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1259" name="__module.vision_tower.vision_model.encoder.layers.14.self_attn.v_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1260" name="__module.vision_tower.vision_model.encoder.layers.14.self_attn.v_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1261" name="self.vision_tower.vision_model.encoder.layers.14.self_attn.v_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="228109300" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.14.self_attn.v_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1262" name="__module.vision_tower.vision_model.encoder.layers.14.self_attn.v_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1263" name="__module.vision_tower.vision_model.encoder.layers.14.self_attn.v_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="901,value_states.29">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1264" name="Constant_153878" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1265" name="__module.vision_tower.vision_model.encoder.layers.14.self_attn/aten::view/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="909">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1266" name="__module.vision_tower.vision_model.encoder.layers.14.self_attn/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1267" name="__module.vision_tower.vision_model.encoder.layers.14.self_attn/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="910">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1268" name="__module.vision_tower.vision_model.encoder.layers.14.self_attn/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="911,attn_output.57">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1269" name="__module.vision_tower.vision_model.encoder.layers.14.self_attn/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1270" name="__module.vision_tower.vision_model.encoder.layers.14.self_attn/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="912">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1271" name="Constant_153879" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="14142300" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1272" name="__module.vision_tower.vision_model.encoder.layers.14.self_attn/aten::view/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="915">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1273" name="self.vision_tower.vision_model.encoder.layers.14.self_attn.out_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="228111604" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1274" name="Convert_1985874" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1275" name="self.vision_tower.vision_model.encoder.layers.14.self_attn.out_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="229438708" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1276" name="self.vision_tower.vision_model.encoder.layers.14.self_attn.out_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1277" name="__module.vision_tower.vision_model.encoder.layers.14.self_attn.out_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1278" name="__module.vision_tower.vision_model.encoder.layers.14.self_attn.out_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1279" name="self.vision_tower.vision_model.encoder.layers.14.self_attn.out_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="229441012" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.14.self_attn.out_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1280" name="__module.vision_tower.vision_model.encoder.layers.14.self_attn.out_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1281" name="__module.vision_tower.vision_model.encoder.layers.14.self_attn.out_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="918,hidden_states.87">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1282" name="__module.vision_tower.vision_model.encoder.layers.14/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="919,residual.59">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1283" name="__module.vision_tower.vision_model.encoder.layers.14.layer_norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1284" name="__module.vision_tower.vision_model.encoder.layers.14.layer_norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1285" name="Constant_153401" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="229443316" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1286" name="__module.vision_tower.vision_model.encoder.layers.14.layer_norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1287" name="Constant_153402" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="229447924" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1288" name="__module.vision_tower.vision_model.encoder.layers.14.layer_norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="923">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1289" name="self.vision_tower.vision_model.encoder.layers.14.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4304, 1152" offset="229452532" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1290" name="Convert_1565232" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1291" name="self.vision_tower.vision_model.encoder.layers.14.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4304, 1" offset="234410740" size="8608" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1292" name="self.vision_tower.vision_model.encoder.layers.14.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1293" name="__module.vision_tower.vision_model.encoder.layers.14.mlp.fc1/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1294" name="__module.vision_tower.vision_model.encoder.layers.14.mlp.fc1/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1295" name="self.vision_tower.vision_model.encoder.layers.14.mlp.fc1.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="4304" offset="234419348" size="8608" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.14.mlp.fc1.bias">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1296" name="__module.vision_tower.vision_model.encoder.layers.14.mlp.fc1/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1297" name="__module.vision_tower.vision_model.encoder.layers.14.mlp.fc1/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="929">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1298" name="__module.vision_tower.vision_model.encoder.layers.14.mlp.activation_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="TANH" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="930">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1299" name="self.vision_tower.vision_model.encoder.layers.14.mlp.fc2.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 4304" offset="234427956" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1300" name="Convert_1570124" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1301" name="self.vision_tower.vision_model.encoder.layers.14.mlp.fc2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="239386164" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1302" name="self.vision_tower.vision_model.encoder.layers.14.mlp.fc2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1303" name="__module.vision_tower.vision_model.encoder.layers.14.mlp.fc2/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1304" name="__module.vision_tower.vision_model.encoder.layers.14.mlp.fc2/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1305" name="self.vision_tower.vision_model.encoder.layers.14.mlp.fc2.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="239388468" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.14.mlp.fc2.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1306" name="__module.vision_tower.vision_model.encoder.layers.14.mlp.fc2/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1307" name="__module.vision_tower.vision_model.encoder.layers.14.mlp.fc2/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="933,hidden_states.89">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1308" name="__module.vision_tower.vision_model.encoder.layers.14/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="934,residual.61">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1309" name="__module.vision_tower.vision_model.encoder.layers.15.layer_norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1310" name="__module.vision_tower.vision_model.encoder.layers.15.layer_norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1311" name="Constant_153403" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="239390772" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1312" name="__module.vision_tower.vision_model.encoder.layers.15.layer_norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1313" name="Constant_153404" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="239395380" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1314" name="__module.vision_tower.vision_model.encoder.layers.15.layer_norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="942,hidden_states.91">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1315" name="self.vision_tower.vision_model.encoder.layers.15.self_attn.q_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="239399988" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1316" name="Convert_2000550" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1317" name="self.vision_tower.vision_model.encoder.layers.15.self_attn.q_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="240727092" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1318" name="self.vision_tower.vision_model.encoder.layers.15.self_attn.q_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1319" name="__module.vision_tower.vision_model.encoder.layers.15.self_attn.q_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1320" name="__module.vision_tower.vision_model.encoder.layers.15.self_attn.q_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1321" name="self.vision_tower.vision_model.encoder.layers.15.self_attn.q_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="240729396" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.15.self_attn.q_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1322" name="__module.vision_tower.vision_model.encoder.layers.15.self_attn.q_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1323" name="__module.vision_tower.vision_model.encoder.layers.15.self_attn.q_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="951,query_states.31">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1324" name="Constant_153880" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1325" name="__module.vision_tower.vision_model.encoder.layers.15.self_attn/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="959">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1326" name="__module.vision_tower.vision_model.encoder.layers.15.self_attn/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1327" name="__module.vision_tower.vision_model.encoder.layers.15.self_attn/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="960">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1328" name="self.vision_tower.vision_model.encoder.layers.15.self_attn.k_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="240731700" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1329" name="Convert_1995658" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1330" name="self.vision_tower.vision_model.encoder.layers.15.self_attn.k_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="242058804" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1331" name="self.vision_tower.vision_model.encoder.layers.15.self_attn.k_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1332" name="__module.vision_tower.vision_model.encoder.layers.15.self_attn.k_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1333" name="__module.vision_tower.vision_model.encoder.layers.15.self_attn.k_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1334" name="self.vision_tower.vision_model.encoder.layers.15.self_attn.k_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="242061108" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.15.self_attn.k_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1335" name="__module.vision_tower.vision_model.encoder.layers.15.self_attn.k_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1336" name="__module.vision_tower.vision_model.encoder.layers.15.self_attn.k_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="954,key_states.31">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1337" name="Constant_153881" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1338" name="__module.vision_tower.vision_model.encoder.layers.15.self_attn/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="962">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1339" name="__module.vision_tower.vision_model.encoder.layers.15.self_attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1340" name="__module.vision_tower.vision_model.encoder.layers.15.self_attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="963">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1341" name="self.vision_tower.vision_model.encoder.layers.15.self_attn.v_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="242063412" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1342" name="Convert_1990766" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1343" name="self.vision_tower.vision_model.encoder.layers.15.self_attn.v_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="243390516" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1344" name="self.vision_tower.vision_model.encoder.layers.15.self_attn.v_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1345" name="__module.vision_tower.vision_model.encoder.layers.15.self_attn.v_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1346" name="__module.vision_tower.vision_model.encoder.layers.15.self_attn.v_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1347" name="self.vision_tower.vision_model.encoder.layers.15.self_attn.v_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="243392820" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.15.self_attn.v_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1348" name="__module.vision_tower.vision_model.encoder.layers.15.self_attn.v_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1349" name="__module.vision_tower.vision_model.encoder.layers.15.self_attn.v_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="957,value_states.31">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1350" name="Constant_153882" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1351" name="__module.vision_tower.vision_model.encoder.layers.15.self_attn/aten::view/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="965">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1352" name="__module.vision_tower.vision_model.encoder.layers.15.self_attn/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1353" name="__module.vision_tower.vision_model.encoder.layers.15.self_attn/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="966">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1354" name="__module.vision_tower.vision_model.encoder.layers.15.self_attn/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="967,attn_output.61">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1355" name="__module.vision_tower.vision_model.encoder.layers.15.self_attn/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1356" name="__module.vision_tower.vision_model.encoder.layers.15.self_attn/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="968">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1357" name="Constant_153883" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="14142300" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1358" name="__module.vision_tower.vision_model.encoder.layers.15.self_attn/aten::view/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="971">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1359" name="self.vision_tower.vision_model.encoder.layers.15.self_attn.out_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="243395124" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1360" name="Convert_2005442" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1361" name="self.vision_tower.vision_model.encoder.layers.15.self_attn.out_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="244722228" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1362" name="self.vision_tower.vision_model.encoder.layers.15.self_attn.out_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1363" name="__module.vision_tower.vision_model.encoder.layers.15.self_attn.out_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1364" name="__module.vision_tower.vision_model.encoder.layers.15.self_attn.out_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1365" name="self.vision_tower.vision_model.encoder.layers.15.self_attn.out_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="244724532" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.15.self_attn.out_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1366" name="__module.vision_tower.vision_model.encoder.layers.15.self_attn.out_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1367" name="__module.vision_tower.vision_model.encoder.layers.15.self_attn.out_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="974,hidden_states.93">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1368" name="__module.vision_tower.vision_model.encoder.layers.15/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="975,residual.63">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1369" name="__module.vision_tower.vision_model.encoder.layers.15.layer_norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1370" name="__module.vision_tower.vision_model.encoder.layers.15.layer_norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1371" name="Constant_153405" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="244726836" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1372" name="__module.vision_tower.vision_model.encoder.layers.15.layer_norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1373" name="Constant_153406" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="244731444" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1374" name="__module.vision_tower.vision_model.encoder.layers.15.layer_norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="979">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1375" name="self.vision_tower.vision_model.encoder.layers.15.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4304, 1152" offset="244736052" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1376" name="Convert_1575016" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1377" name="self.vision_tower.vision_model.encoder.layers.15.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4304, 1" offset="249694260" size="8608" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1378" name="self.vision_tower.vision_model.encoder.layers.15.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1379" name="__module.vision_tower.vision_model.encoder.layers.15.mlp.fc1/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1380" name="__module.vision_tower.vision_model.encoder.layers.15.mlp.fc1/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1381" name="self.vision_tower.vision_model.encoder.layers.15.mlp.fc1.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="4304" offset="249702868" size="8608" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.15.mlp.fc1.bias">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1382" name="__module.vision_tower.vision_model.encoder.layers.15.mlp.fc1/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1383" name="__module.vision_tower.vision_model.encoder.layers.15.mlp.fc1/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="985">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1384" name="__module.vision_tower.vision_model.encoder.layers.15.mlp.activation_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="TANH" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="986">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1385" name="self.vision_tower.vision_model.encoder.layers.15.mlp.fc2.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 4304" offset="249711476" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1386" name="Convert_1579908" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1387" name="self.vision_tower.vision_model.encoder.layers.15.mlp.fc2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="254669684" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1388" name="self.vision_tower.vision_model.encoder.layers.15.mlp.fc2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1389" name="__module.vision_tower.vision_model.encoder.layers.15.mlp.fc2/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1390" name="__module.vision_tower.vision_model.encoder.layers.15.mlp.fc2/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1391" name="self.vision_tower.vision_model.encoder.layers.15.mlp.fc2.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="254671988" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.15.mlp.fc2.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1392" name="__module.vision_tower.vision_model.encoder.layers.15.mlp.fc2/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1393" name="__module.vision_tower.vision_model.encoder.layers.15.mlp.fc2/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="989,hidden_states.95">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1394" name="__module.vision_tower.vision_model.encoder.layers.15/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="990,residual.65">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1395" name="__module.vision_tower.vision_model.encoder.layers.16.layer_norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1396" name="__module.vision_tower.vision_model.encoder.layers.16.layer_norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1397" name="Constant_153407" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="254674292" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1398" name="__module.vision_tower.vision_model.encoder.layers.16.layer_norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1399" name="Constant_153408" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="254678900" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1400" name="__module.vision_tower.vision_model.encoder.layers.16.layer_norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="998,hidden_states.97">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1401" name="self.vision_tower.vision_model.encoder.layers.16.self_attn.q_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="254683508" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1402" name="Convert_2020118" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1403" name="self.vision_tower.vision_model.encoder.layers.16.self_attn.q_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="256010612" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1404" name="self.vision_tower.vision_model.encoder.layers.16.self_attn.q_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1405" name="__module.vision_tower.vision_model.encoder.layers.16.self_attn.q_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1406" name="__module.vision_tower.vision_model.encoder.layers.16.self_attn.q_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1407" name="self.vision_tower.vision_model.encoder.layers.16.self_attn.q_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="256012916" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.16.self_attn.q_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1408" name="__module.vision_tower.vision_model.encoder.layers.16.self_attn.q_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1409" name="__module.vision_tower.vision_model.encoder.layers.16.self_attn.q_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1007,query_states.33">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1410" name="Constant_153884" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1411" name="__module.vision_tower.vision_model.encoder.layers.16.self_attn/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1015">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1412" name="__module.vision_tower.vision_model.encoder.layers.16.self_attn/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1413" name="__module.vision_tower.vision_model.encoder.layers.16.self_attn/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1016">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1414" name="self.vision_tower.vision_model.encoder.layers.16.self_attn.k_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="256015220" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1415" name="Convert_2015226" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1416" name="self.vision_tower.vision_model.encoder.layers.16.self_attn.k_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="257342324" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1417" name="self.vision_tower.vision_model.encoder.layers.16.self_attn.k_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1418" name="__module.vision_tower.vision_model.encoder.layers.16.self_attn.k_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1419" name="__module.vision_tower.vision_model.encoder.layers.16.self_attn.k_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1420" name="self.vision_tower.vision_model.encoder.layers.16.self_attn.k_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="257344628" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.16.self_attn.k_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1421" name="__module.vision_tower.vision_model.encoder.layers.16.self_attn.k_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1422" name="__module.vision_tower.vision_model.encoder.layers.16.self_attn.k_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1010,key_states.33">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1423" name="Constant_153885" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1424" name="__module.vision_tower.vision_model.encoder.layers.16.self_attn/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1018">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1425" name="__module.vision_tower.vision_model.encoder.layers.16.self_attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1426" name="__module.vision_tower.vision_model.encoder.layers.16.self_attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1019">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1427" name="self.vision_tower.vision_model.encoder.layers.16.self_attn.v_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="257346932" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1428" name="Convert_2010334" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1429" name="self.vision_tower.vision_model.encoder.layers.16.self_attn.v_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="258674036" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1430" name="self.vision_tower.vision_model.encoder.layers.16.self_attn.v_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1431" name="__module.vision_tower.vision_model.encoder.layers.16.self_attn.v_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1432" name="__module.vision_tower.vision_model.encoder.layers.16.self_attn.v_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1433" name="self.vision_tower.vision_model.encoder.layers.16.self_attn.v_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="258676340" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.16.self_attn.v_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1434" name="__module.vision_tower.vision_model.encoder.layers.16.self_attn.v_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1435" name="__module.vision_tower.vision_model.encoder.layers.16.self_attn.v_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1013,value_states.33">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1436" name="Constant_153886" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1437" name="__module.vision_tower.vision_model.encoder.layers.16.self_attn/aten::view/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1021">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1438" name="__module.vision_tower.vision_model.encoder.layers.16.self_attn/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1439" name="__module.vision_tower.vision_model.encoder.layers.16.self_attn/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1022">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1440" name="__module.vision_tower.vision_model.encoder.layers.16.self_attn/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="1023,attn_output.65">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1441" name="__module.vision_tower.vision_model.encoder.layers.16.self_attn/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1442" name="__module.vision_tower.vision_model.encoder.layers.16.self_attn/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1024">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1443" name="Constant_153887" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="14142300" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1444" name="__module.vision_tower.vision_model.encoder.layers.16.self_attn/aten::view/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1027">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1445" name="self.vision_tower.vision_model.encoder.layers.16.self_attn.out_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="258678644" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1446" name="Convert_2025010" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1447" name="self.vision_tower.vision_model.encoder.layers.16.self_attn.out_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="260005748" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1448" name="self.vision_tower.vision_model.encoder.layers.16.self_attn.out_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1449" name="__module.vision_tower.vision_model.encoder.layers.16.self_attn.out_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1450" name="__module.vision_tower.vision_model.encoder.layers.16.self_attn.out_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1451" name="self.vision_tower.vision_model.encoder.layers.16.self_attn.out_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="260008052" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.16.self_attn.out_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1452" name="__module.vision_tower.vision_model.encoder.layers.16.self_attn.out_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1453" name="__module.vision_tower.vision_model.encoder.layers.16.self_attn.out_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1030,hidden_states.99">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1454" name="__module.vision_tower.vision_model.encoder.layers.16/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1031,residual.67">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1455" name="__module.vision_tower.vision_model.encoder.layers.16.layer_norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1456" name="__module.vision_tower.vision_model.encoder.layers.16.layer_norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1457" name="Constant_153409" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="260010356" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1458" name="__module.vision_tower.vision_model.encoder.layers.16.layer_norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1459" name="Constant_153410" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="260014964" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1460" name="__module.vision_tower.vision_model.encoder.layers.16.layer_norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1035">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1461" name="self.vision_tower.vision_model.encoder.layers.16.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4304, 1152" offset="260019572" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1462" name="Convert_1584800" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1463" name="self.vision_tower.vision_model.encoder.layers.16.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4304, 1" offset="264977780" size="8608" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1464" name="self.vision_tower.vision_model.encoder.layers.16.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1465" name="__module.vision_tower.vision_model.encoder.layers.16.mlp.fc1/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1466" name="__module.vision_tower.vision_model.encoder.layers.16.mlp.fc1/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1467" name="self.vision_tower.vision_model.encoder.layers.16.mlp.fc1.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="4304" offset="264986388" size="8608" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.16.mlp.fc1.bias">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1468" name="__module.vision_tower.vision_model.encoder.layers.16.mlp.fc1/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1469" name="__module.vision_tower.vision_model.encoder.layers.16.mlp.fc1/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1041">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1470" name="__module.vision_tower.vision_model.encoder.layers.16.mlp.activation_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="TANH" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="1042">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1471" name="self.vision_tower.vision_model.encoder.layers.16.mlp.fc2.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 4304" offset="264994996" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1472" name="Convert_1589692" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1473" name="self.vision_tower.vision_model.encoder.layers.16.mlp.fc2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="269953204" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1474" name="self.vision_tower.vision_model.encoder.layers.16.mlp.fc2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1475" name="__module.vision_tower.vision_model.encoder.layers.16.mlp.fc2/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1476" name="__module.vision_tower.vision_model.encoder.layers.16.mlp.fc2/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1477" name="self.vision_tower.vision_model.encoder.layers.16.mlp.fc2.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="269955508" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.16.mlp.fc2.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1478" name="__module.vision_tower.vision_model.encoder.layers.16.mlp.fc2/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1479" name="__module.vision_tower.vision_model.encoder.layers.16.mlp.fc2/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1045,hidden_states.101">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1480" name="__module.vision_tower.vision_model.encoder.layers.16/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1046,residual.69">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1481" name="__module.vision_tower.vision_model.encoder.layers.17.layer_norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1482" name="__module.vision_tower.vision_model.encoder.layers.17.layer_norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1483" name="Constant_153411" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="269957812" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1484" name="__module.vision_tower.vision_model.encoder.layers.17.layer_norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1485" name="Constant_153412" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="269962420" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1486" name="__module.vision_tower.vision_model.encoder.layers.17.layer_norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1054,hidden_states.103">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1487" name="self.vision_tower.vision_model.encoder.layers.17.self_attn.q_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="269967028" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1488" name="Convert_2039686" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1489" name="self.vision_tower.vision_model.encoder.layers.17.self_attn.q_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="271294132" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1490" name="self.vision_tower.vision_model.encoder.layers.17.self_attn.q_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1491" name="__module.vision_tower.vision_model.encoder.layers.17.self_attn.q_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1492" name="__module.vision_tower.vision_model.encoder.layers.17.self_attn.q_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1493" name="self.vision_tower.vision_model.encoder.layers.17.self_attn.q_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="271296436" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.17.self_attn.q_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1494" name="__module.vision_tower.vision_model.encoder.layers.17.self_attn.q_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1495" name="__module.vision_tower.vision_model.encoder.layers.17.self_attn.q_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1063,query_states.35">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1496" name="Constant_153888" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1497" name="__module.vision_tower.vision_model.encoder.layers.17.self_attn/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1071">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1498" name="__module.vision_tower.vision_model.encoder.layers.17.self_attn/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1499" name="__module.vision_tower.vision_model.encoder.layers.17.self_attn/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1072">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1500" name="self.vision_tower.vision_model.encoder.layers.17.self_attn.k_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="271298740" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1501" name="Convert_2034794" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1502" name="self.vision_tower.vision_model.encoder.layers.17.self_attn.k_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="272625844" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1503" name="self.vision_tower.vision_model.encoder.layers.17.self_attn.k_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1504" name="__module.vision_tower.vision_model.encoder.layers.17.self_attn.k_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1505" name="__module.vision_tower.vision_model.encoder.layers.17.self_attn.k_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1506" name="self.vision_tower.vision_model.encoder.layers.17.self_attn.k_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="272628148" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.17.self_attn.k_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1507" name="__module.vision_tower.vision_model.encoder.layers.17.self_attn.k_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1508" name="__module.vision_tower.vision_model.encoder.layers.17.self_attn.k_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1066,key_states.35">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1509" name="Constant_153889" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1510" name="__module.vision_tower.vision_model.encoder.layers.17.self_attn/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1074">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1511" name="__module.vision_tower.vision_model.encoder.layers.17.self_attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1512" name="__module.vision_tower.vision_model.encoder.layers.17.self_attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1075">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1513" name="self.vision_tower.vision_model.encoder.layers.17.self_attn.v_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="272630452" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1514" name="Convert_2029902" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1515" name="self.vision_tower.vision_model.encoder.layers.17.self_attn.v_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="273957556" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1516" name="self.vision_tower.vision_model.encoder.layers.17.self_attn.v_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1517" name="__module.vision_tower.vision_model.encoder.layers.17.self_attn.v_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1518" name="__module.vision_tower.vision_model.encoder.layers.17.self_attn.v_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1519" name="self.vision_tower.vision_model.encoder.layers.17.self_attn.v_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="273959860" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.17.self_attn.v_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1520" name="__module.vision_tower.vision_model.encoder.layers.17.self_attn.v_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1521" name="__module.vision_tower.vision_model.encoder.layers.17.self_attn.v_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1069,value_states.35">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1522" name="Constant_153890" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1523" name="__module.vision_tower.vision_model.encoder.layers.17.self_attn/aten::view/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1077">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1524" name="__module.vision_tower.vision_model.encoder.layers.17.self_attn/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1525" name="__module.vision_tower.vision_model.encoder.layers.17.self_attn/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1078">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1526" name="__module.vision_tower.vision_model.encoder.layers.17.self_attn/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="1079,attn_output.69">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1527" name="__module.vision_tower.vision_model.encoder.layers.17.self_attn/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1528" name="__module.vision_tower.vision_model.encoder.layers.17.self_attn/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1080">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1529" name="Constant_153891" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="14142300" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1530" name="__module.vision_tower.vision_model.encoder.layers.17.self_attn/aten::view/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1083">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1531" name="self.vision_tower.vision_model.encoder.layers.17.self_attn.out_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="273962164" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1532" name="Convert_2044578" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1533" name="self.vision_tower.vision_model.encoder.layers.17.self_attn.out_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="275289268" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1534" name="self.vision_tower.vision_model.encoder.layers.17.self_attn.out_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1535" name="__module.vision_tower.vision_model.encoder.layers.17.self_attn.out_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1536" name="__module.vision_tower.vision_model.encoder.layers.17.self_attn.out_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1537" name="self.vision_tower.vision_model.encoder.layers.17.self_attn.out_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="275291572" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.17.self_attn.out_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1538" name="__module.vision_tower.vision_model.encoder.layers.17.self_attn.out_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1539" name="__module.vision_tower.vision_model.encoder.layers.17.self_attn.out_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1086,hidden_states.105">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1540" name="__module.vision_tower.vision_model.encoder.layers.17/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1087,residual.71">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1541" name="__module.vision_tower.vision_model.encoder.layers.17.layer_norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1542" name="__module.vision_tower.vision_model.encoder.layers.17.layer_norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1543" name="Constant_153413" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="275293876" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1544" name="__module.vision_tower.vision_model.encoder.layers.17.layer_norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1545" name="Constant_153414" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="275298484" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1546" name="__module.vision_tower.vision_model.encoder.layers.17.layer_norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1091">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1547" name="self.vision_tower.vision_model.encoder.layers.17.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4304, 1152" offset="275303092" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1548" name="Convert_1594584" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1549" name="self.vision_tower.vision_model.encoder.layers.17.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4304, 1" offset="280261300" size="8608" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1550" name="self.vision_tower.vision_model.encoder.layers.17.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1551" name="__module.vision_tower.vision_model.encoder.layers.17.mlp.fc1/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1552" name="__module.vision_tower.vision_model.encoder.layers.17.mlp.fc1/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1553" name="self.vision_tower.vision_model.encoder.layers.17.mlp.fc1.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="4304" offset="280269908" size="8608" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.17.mlp.fc1.bias">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1554" name="__module.vision_tower.vision_model.encoder.layers.17.mlp.fc1/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1555" name="__module.vision_tower.vision_model.encoder.layers.17.mlp.fc1/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1097">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1556" name="__module.vision_tower.vision_model.encoder.layers.17.mlp.activation_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="TANH" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="1098">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1557" name="self.vision_tower.vision_model.encoder.layers.17.mlp.fc2.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 4304" offset="280278516" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1558" name="Convert_1599476" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1559" name="self.vision_tower.vision_model.encoder.layers.17.mlp.fc2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="285236724" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1560" name="self.vision_tower.vision_model.encoder.layers.17.mlp.fc2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1561" name="__module.vision_tower.vision_model.encoder.layers.17.mlp.fc2/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1562" name="__module.vision_tower.vision_model.encoder.layers.17.mlp.fc2/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1563" name="self.vision_tower.vision_model.encoder.layers.17.mlp.fc2.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="285239028" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.17.mlp.fc2.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1564" name="__module.vision_tower.vision_model.encoder.layers.17.mlp.fc2/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1565" name="__module.vision_tower.vision_model.encoder.layers.17.mlp.fc2/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1101,hidden_states.107">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1566" name="__module.vision_tower.vision_model.encoder.layers.17/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1102,residual.73">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1567" name="__module.vision_tower.vision_model.encoder.layers.18.layer_norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1568" name="__module.vision_tower.vision_model.encoder.layers.18.layer_norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1569" name="Constant_153415" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="285241332" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1570" name="__module.vision_tower.vision_model.encoder.layers.18.layer_norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1571" name="Constant_153416" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="285245940" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1572" name="__module.vision_tower.vision_model.encoder.layers.18.layer_norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1110,hidden_states.109">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1573" name="self.vision_tower.vision_model.encoder.layers.18.self_attn.q_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="285250548" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1574" name="Convert_2059254" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1575" name="self.vision_tower.vision_model.encoder.layers.18.self_attn.q_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="286577652" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1576" name="self.vision_tower.vision_model.encoder.layers.18.self_attn.q_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1577" name="__module.vision_tower.vision_model.encoder.layers.18.self_attn.q_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1578" name="__module.vision_tower.vision_model.encoder.layers.18.self_attn.q_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1579" name="self.vision_tower.vision_model.encoder.layers.18.self_attn.q_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="286579956" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.18.self_attn.q_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1580" name="__module.vision_tower.vision_model.encoder.layers.18.self_attn.q_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1581" name="__module.vision_tower.vision_model.encoder.layers.18.self_attn.q_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1119,query_states.37">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1582" name="Constant_153892" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1583" name="__module.vision_tower.vision_model.encoder.layers.18.self_attn/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1127">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1584" name="__module.vision_tower.vision_model.encoder.layers.18.self_attn/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1585" name="__module.vision_tower.vision_model.encoder.layers.18.self_attn/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1128">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1586" name="self.vision_tower.vision_model.encoder.layers.18.self_attn.k_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="286582260" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1587" name="Convert_2054362" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1588" name="self.vision_tower.vision_model.encoder.layers.18.self_attn.k_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="287909364" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1589" name="self.vision_tower.vision_model.encoder.layers.18.self_attn.k_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1590" name="__module.vision_tower.vision_model.encoder.layers.18.self_attn.k_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1591" name="__module.vision_tower.vision_model.encoder.layers.18.self_attn.k_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1592" name="self.vision_tower.vision_model.encoder.layers.18.self_attn.k_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="287911668" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.18.self_attn.k_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1593" name="__module.vision_tower.vision_model.encoder.layers.18.self_attn.k_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1594" name="__module.vision_tower.vision_model.encoder.layers.18.self_attn.k_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1122,key_states.37">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1595" name="Constant_153893" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1596" name="__module.vision_tower.vision_model.encoder.layers.18.self_attn/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1130">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1597" name="__module.vision_tower.vision_model.encoder.layers.18.self_attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1598" name="__module.vision_tower.vision_model.encoder.layers.18.self_attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1131">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1599" name="self.vision_tower.vision_model.encoder.layers.18.self_attn.v_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="287913972" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1600" name="Convert_2049470" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1601" name="self.vision_tower.vision_model.encoder.layers.18.self_attn.v_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="289241076" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1602" name="self.vision_tower.vision_model.encoder.layers.18.self_attn.v_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1603" name="__module.vision_tower.vision_model.encoder.layers.18.self_attn.v_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1604" name="__module.vision_tower.vision_model.encoder.layers.18.self_attn.v_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1605" name="self.vision_tower.vision_model.encoder.layers.18.self_attn.v_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="289243380" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.18.self_attn.v_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1606" name="__module.vision_tower.vision_model.encoder.layers.18.self_attn.v_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1607" name="__module.vision_tower.vision_model.encoder.layers.18.self_attn.v_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1125,value_states.37">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1608" name="Constant_153894" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1609" name="__module.vision_tower.vision_model.encoder.layers.18.self_attn/aten::view/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1133">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1610" name="__module.vision_tower.vision_model.encoder.layers.18.self_attn/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1611" name="__module.vision_tower.vision_model.encoder.layers.18.self_attn/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1134">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1612" name="__module.vision_tower.vision_model.encoder.layers.18.self_attn/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="1135,attn_output.73">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1613" name="__module.vision_tower.vision_model.encoder.layers.18.self_attn/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1614" name="__module.vision_tower.vision_model.encoder.layers.18.self_attn/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1136">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1615" name="Constant_153895" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="14142300" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1616" name="__module.vision_tower.vision_model.encoder.layers.18.self_attn/aten::view/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1139">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1617" name="self.vision_tower.vision_model.encoder.layers.18.self_attn.out_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="289245684" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1618" name="Convert_2064146" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1619" name="self.vision_tower.vision_model.encoder.layers.18.self_attn.out_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="290572788" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1620" name="self.vision_tower.vision_model.encoder.layers.18.self_attn.out_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1621" name="__module.vision_tower.vision_model.encoder.layers.18.self_attn.out_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1622" name="__module.vision_tower.vision_model.encoder.layers.18.self_attn.out_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1623" name="self.vision_tower.vision_model.encoder.layers.18.self_attn.out_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="290575092" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.18.self_attn.out_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1624" name="__module.vision_tower.vision_model.encoder.layers.18.self_attn.out_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1625" name="__module.vision_tower.vision_model.encoder.layers.18.self_attn.out_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1142,hidden_states.111">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1626" name="__module.vision_tower.vision_model.encoder.layers.18/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1143,residual.75">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1627" name="__module.vision_tower.vision_model.encoder.layers.18.layer_norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1628" name="__module.vision_tower.vision_model.encoder.layers.18.layer_norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1629" name="Constant_153417" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="290577396" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1630" name="__module.vision_tower.vision_model.encoder.layers.18.layer_norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1631" name="Constant_153418" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="290582004" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1632" name="__module.vision_tower.vision_model.encoder.layers.18.layer_norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1147">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1633" name="self.vision_tower.vision_model.encoder.layers.18.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4304, 1152" offset="290586612" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1634" name="Convert_1604368" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1635" name="self.vision_tower.vision_model.encoder.layers.18.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4304, 1" offset="295544820" size="8608" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1636" name="self.vision_tower.vision_model.encoder.layers.18.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1637" name="__module.vision_tower.vision_model.encoder.layers.18.mlp.fc1/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1638" name="__module.vision_tower.vision_model.encoder.layers.18.mlp.fc1/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1639" name="self.vision_tower.vision_model.encoder.layers.18.mlp.fc1.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="4304" offset="295553428" size="8608" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.18.mlp.fc1.bias">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1640" name="__module.vision_tower.vision_model.encoder.layers.18.mlp.fc1/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1641" name="__module.vision_tower.vision_model.encoder.layers.18.mlp.fc1/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1153">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1642" name="__module.vision_tower.vision_model.encoder.layers.18.mlp.activation_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="TANH" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="1154">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1643" name="self.vision_tower.vision_model.encoder.layers.18.mlp.fc2.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 4304" offset="295562036" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1644" name="Convert_1609260" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1645" name="self.vision_tower.vision_model.encoder.layers.18.mlp.fc2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="300520244" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1646" name="self.vision_tower.vision_model.encoder.layers.18.mlp.fc2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1647" name="__module.vision_tower.vision_model.encoder.layers.18.mlp.fc2/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1648" name="__module.vision_tower.vision_model.encoder.layers.18.mlp.fc2/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1649" name="self.vision_tower.vision_model.encoder.layers.18.mlp.fc2.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="300522548" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.18.mlp.fc2.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1650" name="__module.vision_tower.vision_model.encoder.layers.18.mlp.fc2/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1651" name="__module.vision_tower.vision_model.encoder.layers.18.mlp.fc2/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1157,hidden_states.113">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1652" name="__module.vision_tower.vision_model.encoder.layers.18/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1158,residual.77">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1653" name="__module.vision_tower.vision_model.encoder.layers.19.layer_norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1654" name="__module.vision_tower.vision_model.encoder.layers.19.layer_norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1655" name="Constant_153419" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="300524852" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1656" name="__module.vision_tower.vision_model.encoder.layers.19.layer_norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1657" name="Constant_153420" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="300529460" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1658" name="__module.vision_tower.vision_model.encoder.layers.19.layer_norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1166,hidden_states.115">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1659" name="self.vision_tower.vision_model.encoder.layers.19.self_attn.q_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="300534068" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1660" name="Convert_2078822" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1661" name="self.vision_tower.vision_model.encoder.layers.19.self_attn.q_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="301861172" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1662" name="self.vision_tower.vision_model.encoder.layers.19.self_attn.q_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1663" name="__module.vision_tower.vision_model.encoder.layers.19.self_attn.q_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1664" name="__module.vision_tower.vision_model.encoder.layers.19.self_attn.q_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1665" name="self.vision_tower.vision_model.encoder.layers.19.self_attn.q_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="301863476" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.19.self_attn.q_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1666" name="__module.vision_tower.vision_model.encoder.layers.19.self_attn.q_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1667" name="__module.vision_tower.vision_model.encoder.layers.19.self_attn.q_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1175,query_states.39">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1668" name="Constant_153896" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1669" name="__module.vision_tower.vision_model.encoder.layers.19.self_attn/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1183">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1670" name="__module.vision_tower.vision_model.encoder.layers.19.self_attn/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1671" name="__module.vision_tower.vision_model.encoder.layers.19.self_attn/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1184">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1672" name="self.vision_tower.vision_model.encoder.layers.19.self_attn.k_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="301865780" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1673" name="Convert_2073930" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1674" name="self.vision_tower.vision_model.encoder.layers.19.self_attn.k_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="303192884" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1675" name="self.vision_tower.vision_model.encoder.layers.19.self_attn.k_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1676" name="__module.vision_tower.vision_model.encoder.layers.19.self_attn.k_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1677" name="__module.vision_tower.vision_model.encoder.layers.19.self_attn.k_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1678" name="self.vision_tower.vision_model.encoder.layers.19.self_attn.k_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="303195188" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.19.self_attn.k_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1679" name="__module.vision_tower.vision_model.encoder.layers.19.self_attn.k_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1680" name="__module.vision_tower.vision_model.encoder.layers.19.self_attn.k_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1178,key_states.39">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1681" name="Constant_153897" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1682" name="__module.vision_tower.vision_model.encoder.layers.19.self_attn/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1186">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1683" name="__module.vision_tower.vision_model.encoder.layers.19.self_attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1684" name="__module.vision_tower.vision_model.encoder.layers.19.self_attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1187">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1685" name="self.vision_tower.vision_model.encoder.layers.19.self_attn.v_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="303197492" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1686" name="Convert_2069038" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1687" name="self.vision_tower.vision_model.encoder.layers.19.self_attn.v_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="304524596" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1688" name="self.vision_tower.vision_model.encoder.layers.19.self_attn.v_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1689" name="__module.vision_tower.vision_model.encoder.layers.19.self_attn.v_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1690" name="__module.vision_tower.vision_model.encoder.layers.19.self_attn.v_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1691" name="self.vision_tower.vision_model.encoder.layers.19.self_attn.v_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="304526900" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.19.self_attn.v_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1692" name="__module.vision_tower.vision_model.encoder.layers.19.self_attn.v_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1693" name="__module.vision_tower.vision_model.encoder.layers.19.self_attn.v_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1181,value_states.39">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1694" name="Constant_153898" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1695" name="__module.vision_tower.vision_model.encoder.layers.19.self_attn/aten::view/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1189">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1696" name="__module.vision_tower.vision_model.encoder.layers.19.self_attn/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1697" name="__module.vision_tower.vision_model.encoder.layers.19.self_attn/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1190">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1698" name="__module.vision_tower.vision_model.encoder.layers.19.self_attn/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="1191,attn_output.77">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1699" name="__module.vision_tower.vision_model.encoder.layers.19.self_attn/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1700" name="__module.vision_tower.vision_model.encoder.layers.19.self_attn/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1192">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1701" name="Constant_153899" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="14142300" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1702" name="__module.vision_tower.vision_model.encoder.layers.19.self_attn/aten::view/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1195">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1703" name="self.vision_tower.vision_model.encoder.layers.19.self_attn.out_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="304529204" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1704" name="Convert_2083714" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1705" name="self.vision_tower.vision_model.encoder.layers.19.self_attn.out_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="305856308" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1706" name="self.vision_tower.vision_model.encoder.layers.19.self_attn.out_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1707" name="__module.vision_tower.vision_model.encoder.layers.19.self_attn.out_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1708" name="__module.vision_tower.vision_model.encoder.layers.19.self_attn.out_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1709" name="self.vision_tower.vision_model.encoder.layers.19.self_attn.out_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="305858612" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.19.self_attn.out_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1710" name="__module.vision_tower.vision_model.encoder.layers.19.self_attn.out_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1711" name="__module.vision_tower.vision_model.encoder.layers.19.self_attn.out_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1198,hidden_states.117">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1712" name="__module.vision_tower.vision_model.encoder.layers.19/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1199,residual.79">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1713" name="__module.vision_tower.vision_model.encoder.layers.19.layer_norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1714" name="__module.vision_tower.vision_model.encoder.layers.19.layer_norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1715" name="Constant_153421" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="305860916" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1716" name="__module.vision_tower.vision_model.encoder.layers.19.layer_norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1717" name="Constant_153422" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="305865524" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1718" name="__module.vision_tower.vision_model.encoder.layers.19.layer_norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1203">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1719" name="self.vision_tower.vision_model.encoder.layers.19.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4304, 1152" offset="305870132" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1720" name="Convert_1614152" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1721" name="self.vision_tower.vision_model.encoder.layers.19.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4304, 1" offset="310828340" size="8608" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1722" name="self.vision_tower.vision_model.encoder.layers.19.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1723" name="__module.vision_tower.vision_model.encoder.layers.19.mlp.fc1/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1724" name="__module.vision_tower.vision_model.encoder.layers.19.mlp.fc1/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1725" name="self.vision_tower.vision_model.encoder.layers.19.mlp.fc1.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="4304" offset="310836948" size="8608" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.19.mlp.fc1.bias">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1726" name="__module.vision_tower.vision_model.encoder.layers.19.mlp.fc1/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1727" name="__module.vision_tower.vision_model.encoder.layers.19.mlp.fc1/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1209">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1728" name="__module.vision_tower.vision_model.encoder.layers.19.mlp.activation_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="TANH" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="1210">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1729" name="self.vision_tower.vision_model.encoder.layers.19.mlp.fc2.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 4304" offset="310845556" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1730" name="Convert_1619044" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1731" name="self.vision_tower.vision_model.encoder.layers.19.mlp.fc2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="315803764" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1732" name="self.vision_tower.vision_model.encoder.layers.19.mlp.fc2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1733" name="__module.vision_tower.vision_model.encoder.layers.19.mlp.fc2/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1734" name="__module.vision_tower.vision_model.encoder.layers.19.mlp.fc2/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1735" name="self.vision_tower.vision_model.encoder.layers.19.mlp.fc2.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="315806068" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.19.mlp.fc2.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1736" name="__module.vision_tower.vision_model.encoder.layers.19.mlp.fc2/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1737" name="__module.vision_tower.vision_model.encoder.layers.19.mlp.fc2/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1213,hidden_states.119">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1738" name="__module.vision_tower.vision_model.encoder.layers.19/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1214,residual.81">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1739" name="__module.vision_tower.vision_model.encoder.layers.20.layer_norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1740" name="__module.vision_tower.vision_model.encoder.layers.20.layer_norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1741" name="Constant_153423" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="315808372" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1742" name="__module.vision_tower.vision_model.encoder.layers.20.layer_norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1743" name="Constant_153424" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="315812980" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1744" name="__module.vision_tower.vision_model.encoder.layers.20.layer_norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1222,hidden_states.121">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1745" name="self.vision_tower.vision_model.encoder.layers.20.self_attn.q_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="315817588" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1746" name="Convert_2098390" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1747" name="self.vision_tower.vision_model.encoder.layers.20.self_attn.q_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="317144692" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1748" name="self.vision_tower.vision_model.encoder.layers.20.self_attn.q_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1749" name="__module.vision_tower.vision_model.encoder.layers.20.self_attn.q_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1750" name="__module.vision_tower.vision_model.encoder.layers.20.self_attn.q_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1751" name="self.vision_tower.vision_model.encoder.layers.20.self_attn.q_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="317146996" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.20.self_attn.q_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1752" name="__module.vision_tower.vision_model.encoder.layers.20.self_attn.q_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1753" name="__module.vision_tower.vision_model.encoder.layers.20.self_attn.q_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1231,query_states.41">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1754" name="Constant_153900" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1755" name="__module.vision_tower.vision_model.encoder.layers.20.self_attn/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1239">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1756" name="__module.vision_tower.vision_model.encoder.layers.20.self_attn/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1757" name="__module.vision_tower.vision_model.encoder.layers.20.self_attn/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1240">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1758" name="self.vision_tower.vision_model.encoder.layers.20.self_attn.k_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="317149300" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1759" name="Convert_2093498" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1760" name="self.vision_tower.vision_model.encoder.layers.20.self_attn.k_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="318476404" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1761" name="self.vision_tower.vision_model.encoder.layers.20.self_attn.k_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1762" name="__module.vision_tower.vision_model.encoder.layers.20.self_attn.k_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1763" name="__module.vision_tower.vision_model.encoder.layers.20.self_attn.k_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1764" name="self.vision_tower.vision_model.encoder.layers.20.self_attn.k_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="318478708" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.20.self_attn.k_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1765" name="__module.vision_tower.vision_model.encoder.layers.20.self_attn.k_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1766" name="__module.vision_tower.vision_model.encoder.layers.20.self_attn.k_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1234,key_states.41">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1767" name="Constant_153901" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1768" name="__module.vision_tower.vision_model.encoder.layers.20.self_attn/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1242">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1769" name="__module.vision_tower.vision_model.encoder.layers.20.self_attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1770" name="__module.vision_tower.vision_model.encoder.layers.20.self_attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1243">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1771" name="self.vision_tower.vision_model.encoder.layers.20.self_attn.v_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="318481012" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1772" name="Convert_2088606" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1773" name="self.vision_tower.vision_model.encoder.layers.20.self_attn.v_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="319808116" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1774" name="self.vision_tower.vision_model.encoder.layers.20.self_attn.v_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1775" name="__module.vision_tower.vision_model.encoder.layers.20.self_attn.v_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1776" name="__module.vision_tower.vision_model.encoder.layers.20.self_attn.v_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1777" name="self.vision_tower.vision_model.encoder.layers.20.self_attn.v_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="319810420" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.20.self_attn.v_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1778" name="__module.vision_tower.vision_model.encoder.layers.20.self_attn.v_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1779" name="__module.vision_tower.vision_model.encoder.layers.20.self_attn.v_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1237,value_states.41">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1780" name="Constant_153902" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1781" name="__module.vision_tower.vision_model.encoder.layers.20.self_attn/aten::view/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1245">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1782" name="__module.vision_tower.vision_model.encoder.layers.20.self_attn/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1783" name="__module.vision_tower.vision_model.encoder.layers.20.self_attn/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1246">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1784" name="__module.vision_tower.vision_model.encoder.layers.20.self_attn/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="1247,attn_output.81">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1785" name="__module.vision_tower.vision_model.encoder.layers.20.self_attn/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1786" name="__module.vision_tower.vision_model.encoder.layers.20.self_attn/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1248">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1787" name="Constant_153903" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="14142300" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1788" name="__module.vision_tower.vision_model.encoder.layers.20.self_attn/aten::view/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1251">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1789" name="self.vision_tower.vision_model.encoder.layers.20.self_attn.out_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="319812724" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1790" name="Convert_2103282" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1791" name="self.vision_tower.vision_model.encoder.layers.20.self_attn.out_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="321139828" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1792" name="self.vision_tower.vision_model.encoder.layers.20.self_attn.out_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1793" name="__module.vision_tower.vision_model.encoder.layers.20.self_attn.out_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1794" name="__module.vision_tower.vision_model.encoder.layers.20.self_attn.out_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1795" name="self.vision_tower.vision_model.encoder.layers.20.self_attn.out_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="321142132" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.20.self_attn.out_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1796" name="__module.vision_tower.vision_model.encoder.layers.20.self_attn.out_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1797" name="__module.vision_tower.vision_model.encoder.layers.20.self_attn.out_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1254,hidden_states.123">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1798" name="__module.vision_tower.vision_model.encoder.layers.20/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1255,residual.83">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1799" name="__module.vision_tower.vision_model.encoder.layers.20.layer_norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1800" name="__module.vision_tower.vision_model.encoder.layers.20.layer_norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1801" name="Constant_153425" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="321144436" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1802" name="__module.vision_tower.vision_model.encoder.layers.20.layer_norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1803" name="Constant_153426" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="321149044" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1804" name="__module.vision_tower.vision_model.encoder.layers.20.layer_norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1259">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1805" name="self.vision_tower.vision_model.encoder.layers.20.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4304, 1152" offset="321153652" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1806" name="Convert_1623936" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1807" name="self.vision_tower.vision_model.encoder.layers.20.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4304, 1" offset="326111860" size="8608" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1808" name="self.vision_tower.vision_model.encoder.layers.20.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1809" name="__module.vision_tower.vision_model.encoder.layers.20.mlp.fc1/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1810" name="__module.vision_tower.vision_model.encoder.layers.20.mlp.fc1/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1811" name="self.vision_tower.vision_model.encoder.layers.20.mlp.fc1.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="4304" offset="326120468" size="8608" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.20.mlp.fc1.bias">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1812" name="__module.vision_tower.vision_model.encoder.layers.20.mlp.fc1/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1813" name="__module.vision_tower.vision_model.encoder.layers.20.mlp.fc1/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1265">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1814" name="__module.vision_tower.vision_model.encoder.layers.20.mlp.activation_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="TANH" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="1266">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1815" name="self.vision_tower.vision_model.encoder.layers.20.mlp.fc2.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 4304" offset="326129076" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1816" name="Convert_1628828" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1817" name="self.vision_tower.vision_model.encoder.layers.20.mlp.fc2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="331087284" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1818" name="self.vision_tower.vision_model.encoder.layers.20.mlp.fc2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1819" name="__module.vision_tower.vision_model.encoder.layers.20.mlp.fc2/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1820" name="__module.vision_tower.vision_model.encoder.layers.20.mlp.fc2/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1821" name="self.vision_tower.vision_model.encoder.layers.20.mlp.fc2.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="331089588" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.20.mlp.fc2.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1822" name="__module.vision_tower.vision_model.encoder.layers.20.mlp.fc2/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1823" name="__module.vision_tower.vision_model.encoder.layers.20.mlp.fc2/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1269,hidden_states.125">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1824" name="__module.vision_tower.vision_model.encoder.layers.20/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1270,residual.85">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1825" name="__module.vision_tower.vision_model.encoder.layers.21.layer_norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1826" name="__module.vision_tower.vision_model.encoder.layers.21.layer_norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1827" name="Constant_153427" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="331091892" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1828" name="__module.vision_tower.vision_model.encoder.layers.21.layer_norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1829" name="Constant_153428" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="331096500" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1830" name="__module.vision_tower.vision_model.encoder.layers.21.layer_norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1278,hidden_states.127">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1831" name="self.vision_tower.vision_model.encoder.layers.21.self_attn.q_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="331101108" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1832" name="Convert_2117958" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1833" name="self.vision_tower.vision_model.encoder.layers.21.self_attn.q_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="332428212" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1834" name="self.vision_tower.vision_model.encoder.layers.21.self_attn.q_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1835" name="__module.vision_tower.vision_model.encoder.layers.21.self_attn.q_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1836" name="__module.vision_tower.vision_model.encoder.layers.21.self_attn.q_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1837" name="self.vision_tower.vision_model.encoder.layers.21.self_attn.q_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="332430516" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.21.self_attn.q_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1838" name="__module.vision_tower.vision_model.encoder.layers.21.self_attn.q_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1839" name="__module.vision_tower.vision_model.encoder.layers.21.self_attn.q_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1287,query_states.43">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1840" name="Constant_153904" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1841" name="__module.vision_tower.vision_model.encoder.layers.21.self_attn/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1295">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1842" name="__module.vision_tower.vision_model.encoder.layers.21.self_attn/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1843" name="__module.vision_tower.vision_model.encoder.layers.21.self_attn/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1296">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1844" name="self.vision_tower.vision_model.encoder.layers.21.self_attn.k_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="332432820" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1845" name="Convert_2113066" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1846" name="self.vision_tower.vision_model.encoder.layers.21.self_attn.k_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="333759924" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1847" name="self.vision_tower.vision_model.encoder.layers.21.self_attn.k_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1848" name="__module.vision_tower.vision_model.encoder.layers.21.self_attn.k_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1849" name="__module.vision_tower.vision_model.encoder.layers.21.self_attn.k_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1850" name="self.vision_tower.vision_model.encoder.layers.21.self_attn.k_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="333762228" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.21.self_attn.k_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1851" name="__module.vision_tower.vision_model.encoder.layers.21.self_attn.k_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1852" name="__module.vision_tower.vision_model.encoder.layers.21.self_attn.k_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1290,key_states.43">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1853" name="Constant_153905" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1854" name="__module.vision_tower.vision_model.encoder.layers.21.self_attn/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1298">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1855" name="__module.vision_tower.vision_model.encoder.layers.21.self_attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1856" name="__module.vision_tower.vision_model.encoder.layers.21.self_attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1299">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1857" name="self.vision_tower.vision_model.encoder.layers.21.self_attn.v_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="333764532" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1858" name="Convert_2108174" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1859" name="self.vision_tower.vision_model.encoder.layers.21.self_attn.v_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="335091636" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1860" name="self.vision_tower.vision_model.encoder.layers.21.self_attn.v_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1861" name="__module.vision_tower.vision_model.encoder.layers.21.self_attn.v_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1862" name="__module.vision_tower.vision_model.encoder.layers.21.self_attn.v_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1863" name="self.vision_tower.vision_model.encoder.layers.21.self_attn.v_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="335093940" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.21.self_attn.v_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1864" name="__module.vision_tower.vision_model.encoder.layers.21.self_attn.v_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1865" name="__module.vision_tower.vision_model.encoder.layers.21.self_attn.v_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1293,value_states.43">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1866" name="Constant_153906" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1867" name="__module.vision_tower.vision_model.encoder.layers.21.self_attn/aten::view/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1301">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1868" name="__module.vision_tower.vision_model.encoder.layers.21.self_attn/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1869" name="__module.vision_tower.vision_model.encoder.layers.21.self_attn/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1302">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1870" name="__module.vision_tower.vision_model.encoder.layers.21.self_attn/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="1303,attn_output.85">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1871" name="__module.vision_tower.vision_model.encoder.layers.21.self_attn/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1872" name="__module.vision_tower.vision_model.encoder.layers.21.self_attn/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1304">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1873" name="Constant_153907" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="14142300" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1874" name="__module.vision_tower.vision_model.encoder.layers.21.self_attn/aten::view/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1307">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1875" name="self.vision_tower.vision_model.encoder.layers.21.self_attn.out_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="335096244" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1876" name="Convert_2122850" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1877" name="self.vision_tower.vision_model.encoder.layers.21.self_attn.out_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="336423348" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1878" name="self.vision_tower.vision_model.encoder.layers.21.self_attn.out_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1879" name="__module.vision_tower.vision_model.encoder.layers.21.self_attn.out_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1880" name="__module.vision_tower.vision_model.encoder.layers.21.self_attn.out_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1881" name="self.vision_tower.vision_model.encoder.layers.21.self_attn.out_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="336425652" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.21.self_attn.out_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1882" name="__module.vision_tower.vision_model.encoder.layers.21.self_attn.out_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1883" name="__module.vision_tower.vision_model.encoder.layers.21.self_attn.out_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1310,hidden_states.129">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1884" name="__module.vision_tower.vision_model.encoder.layers.21/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1311,residual.87">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1885" name="__module.vision_tower.vision_model.encoder.layers.21.layer_norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1886" name="__module.vision_tower.vision_model.encoder.layers.21.layer_norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1887" name="Constant_153429" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="336427956" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1888" name="__module.vision_tower.vision_model.encoder.layers.21.layer_norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1889" name="Constant_153430" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="336432564" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1890" name="__module.vision_tower.vision_model.encoder.layers.21.layer_norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1315">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1891" name="self.vision_tower.vision_model.encoder.layers.21.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4304, 1152" offset="336437172" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1892" name="Convert_1633720" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1893" name="self.vision_tower.vision_model.encoder.layers.21.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4304, 1" offset="341395380" size="8608" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1894" name="self.vision_tower.vision_model.encoder.layers.21.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1895" name="__module.vision_tower.vision_model.encoder.layers.21.mlp.fc1/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1896" name="__module.vision_tower.vision_model.encoder.layers.21.mlp.fc1/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1897" name="self.vision_tower.vision_model.encoder.layers.21.mlp.fc1.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="4304" offset="341403988" size="8608" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.21.mlp.fc1.bias">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1898" name="__module.vision_tower.vision_model.encoder.layers.21.mlp.fc1/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1899" name="__module.vision_tower.vision_model.encoder.layers.21.mlp.fc1/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1321">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1900" name="__module.vision_tower.vision_model.encoder.layers.21.mlp.activation_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="TANH" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="1322">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1901" name="self.vision_tower.vision_model.encoder.layers.21.mlp.fc2.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 4304" offset="341412596" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1902" name="Convert_1638612" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1903" name="self.vision_tower.vision_model.encoder.layers.21.mlp.fc2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="346370804" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1904" name="self.vision_tower.vision_model.encoder.layers.21.mlp.fc2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1905" name="__module.vision_tower.vision_model.encoder.layers.21.mlp.fc2/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1906" name="__module.vision_tower.vision_model.encoder.layers.21.mlp.fc2/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1907" name="self.vision_tower.vision_model.encoder.layers.21.mlp.fc2.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="346373108" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.21.mlp.fc2.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1908" name="__module.vision_tower.vision_model.encoder.layers.21.mlp.fc2/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1909" name="__module.vision_tower.vision_model.encoder.layers.21.mlp.fc2/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1325,hidden_states.131">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1910" name="__module.vision_tower.vision_model.encoder.layers.21/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1326,residual.89">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1911" name="__module.vision_tower.vision_model.encoder.layers.22.layer_norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1912" name="__module.vision_tower.vision_model.encoder.layers.22.layer_norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1913" name="Constant_153431" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="346375412" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1914" name="__module.vision_tower.vision_model.encoder.layers.22.layer_norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1915" name="Constant_153432" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="346380020" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1916" name="__module.vision_tower.vision_model.encoder.layers.22.layer_norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1334,hidden_states.133">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1917" name="self.vision_tower.vision_model.encoder.layers.22.self_attn.q_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="346384628" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1918" name="Convert_2137526" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1919" name="self.vision_tower.vision_model.encoder.layers.22.self_attn.q_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="347711732" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1920" name="self.vision_tower.vision_model.encoder.layers.22.self_attn.q_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1921" name="__module.vision_tower.vision_model.encoder.layers.22.self_attn.q_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1922" name="__module.vision_tower.vision_model.encoder.layers.22.self_attn.q_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1923" name="self.vision_tower.vision_model.encoder.layers.22.self_attn.q_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="347714036" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.22.self_attn.q_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1924" name="__module.vision_tower.vision_model.encoder.layers.22.self_attn.q_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1925" name="__module.vision_tower.vision_model.encoder.layers.22.self_attn.q_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1343,query_states.45">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1926" name="Constant_153908" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1927" name="__module.vision_tower.vision_model.encoder.layers.22.self_attn/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1351">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1928" name="__module.vision_tower.vision_model.encoder.layers.22.self_attn/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1929" name="__module.vision_tower.vision_model.encoder.layers.22.self_attn/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1352">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1930" name="self.vision_tower.vision_model.encoder.layers.22.self_attn.k_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="347716340" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1931" name="Convert_2132634" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1932" name="self.vision_tower.vision_model.encoder.layers.22.self_attn.k_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="349043444" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1933" name="self.vision_tower.vision_model.encoder.layers.22.self_attn.k_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1934" name="__module.vision_tower.vision_model.encoder.layers.22.self_attn.k_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1935" name="__module.vision_tower.vision_model.encoder.layers.22.self_attn.k_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1936" name="self.vision_tower.vision_model.encoder.layers.22.self_attn.k_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="349045748" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.22.self_attn.k_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1937" name="__module.vision_tower.vision_model.encoder.layers.22.self_attn.k_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1938" name="__module.vision_tower.vision_model.encoder.layers.22.self_attn.k_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1346,key_states.45">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1939" name="Constant_153909" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1940" name="__module.vision_tower.vision_model.encoder.layers.22.self_attn/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1354">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1941" name="__module.vision_tower.vision_model.encoder.layers.22.self_attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1942" name="__module.vision_tower.vision_model.encoder.layers.22.self_attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1355">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1943" name="self.vision_tower.vision_model.encoder.layers.22.self_attn.v_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="349048052" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1944" name="Convert_2127742" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1945" name="self.vision_tower.vision_model.encoder.layers.22.self_attn.v_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="350375156" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1946" name="self.vision_tower.vision_model.encoder.layers.22.self_attn.v_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1947" name="__module.vision_tower.vision_model.encoder.layers.22.self_attn.v_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1948" name="__module.vision_tower.vision_model.encoder.layers.22.self_attn.v_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1949" name="self.vision_tower.vision_model.encoder.layers.22.self_attn.v_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="350377460" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.22.self_attn.v_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1950" name="__module.vision_tower.vision_model.encoder.layers.22.self_attn.v_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1951" name="__module.vision_tower.vision_model.encoder.layers.22.self_attn.v_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1349,value_states.45">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1952" name="Constant_153910" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1953" name="__module.vision_tower.vision_model.encoder.layers.22.self_attn/aten::view/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1357">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1954" name="__module.vision_tower.vision_model.encoder.layers.22.self_attn/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1955" name="__module.vision_tower.vision_model.encoder.layers.22.self_attn/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1358">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1956" name="__module.vision_tower.vision_model.encoder.layers.22.self_attn/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="1359,attn_output.89">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1957" name="__module.vision_tower.vision_model.encoder.layers.22.self_attn/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1958" name="__module.vision_tower.vision_model.encoder.layers.22.self_attn/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1360">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1959" name="Constant_153911" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="14142300" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1960" name="__module.vision_tower.vision_model.encoder.layers.22.self_attn/aten::view/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1363">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1961" name="self.vision_tower.vision_model.encoder.layers.22.self_attn.out_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="350379764" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1962" name="Convert_2142418" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1963" name="self.vision_tower.vision_model.encoder.layers.22.self_attn.out_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="351706868" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1964" name="self.vision_tower.vision_model.encoder.layers.22.self_attn.out_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1965" name="__module.vision_tower.vision_model.encoder.layers.22.self_attn.out_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1966" name="__module.vision_tower.vision_model.encoder.layers.22.self_attn.out_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1967" name="self.vision_tower.vision_model.encoder.layers.22.self_attn.out_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="351709172" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.22.self_attn.out_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1968" name="__module.vision_tower.vision_model.encoder.layers.22.self_attn.out_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1969" name="__module.vision_tower.vision_model.encoder.layers.22.self_attn.out_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1366,hidden_states.135">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1970" name="__module.vision_tower.vision_model.encoder.layers.22/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1367,residual.91">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1971" name="__module.vision_tower.vision_model.encoder.layers.22.layer_norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1972" name="__module.vision_tower.vision_model.encoder.layers.22.layer_norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1973" name="Constant_153433" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="351711476" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1974" name="__module.vision_tower.vision_model.encoder.layers.22.layer_norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1975" name="Constant_153434" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="351716084" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1976" name="__module.vision_tower.vision_model.encoder.layers.22.layer_norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1371">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1977" name="self.vision_tower.vision_model.encoder.layers.22.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4304, 1152" offset="351720692" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1978" name="Convert_1643504" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1979" name="self.vision_tower.vision_model.encoder.layers.22.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4304, 1" offset="356678900" size="8608" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1980" name="self.vision_tower.vision_model.encoder.layers.22.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1981" name="__module.vision_tower.vision_model.encoder.layers.22.mlp.fc1/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1982" name="__module.vision_tower.vision_model.encoder.layers.22.mlp.fc1/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1983" name="self.vision_tower.vision_model.encoder.layers.22.mlp.fc1.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="4304" offset="356687508" size="8608" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.22.mlp.fc1.bias">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1984" name="__module.vision_tower.vision_model.encoder.layers.22.mlp.fc1/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1985" name="__module.vision_tower.vision_model.encoder.layers.22.mlp.fc1/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1377">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1986" name="__module.vision_tower.vision_model.encoder.layers.22.mlp.activation_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="TANH" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="1378">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1987" name="self.vision_tower.vision_model.encoder.layers.22.mlp.fc2.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 4304" offset="356696116" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1988" name="Convert_1648396" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1989" name="self.vision_tower.vision_model.encoder.layers.22.mlp.fc2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="361654324" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1990" name="self.vision_tower.vision_model.encoder.layers.22.mlp.fc2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1991" name="__module.vision_tower.vision_model.encoder.layers.22.mlp.fc2/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1992" name="__module.vision_tower.vision_model.encoder.layers.22.mlp.fc2/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1993" name="self.vision_tower.vision_model.encoder.layers.22.mlp.fc2.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="361656628" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.22.mlp.fc2.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1994" name="__module.vision_tower.vision_model.encoder.layers.22.mlp.fc2/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1995" name="__module.vision_tower.vision_model.encoder.layers.22.mlp.fc2/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1381,hidden_states.137">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1996" name="__module.vision_tower.vision_model.encoder.layers.22/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1382,residual.93">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1997" name="__module.vision_tower.vision_model.encoder.layers.23.layer_norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1998" name="__module.vision_tower.vision_model.encoder.layers.23.layer_norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1999" name="Constant_153435" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="361658932" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2000" name="__module.vision_tower.vision_model.encoder.layers.23.layer_norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2001" name="Constant_153436" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="361663540" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2002" name="__module.vision_tower.vision_model.encoder.layers.23.layer_norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1390,hidden_states.139">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2003" name="self.vision_tower.vision_model.encoder.layers.23.self_attn.q_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="361668148" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2004" name="Convert_2157094" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2005" name="self.vision_tower.vision_model.encoder.layers.23.self_attn.q_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="362995252" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2006" name="self.vision_tower.vision_model.encoder.layers.23.self_attn.q_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2007" name="__module.vision_tower.vision_model.encoder.layers.23.self_attn.q_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2008" name="__module.vision_tower.vision_model.encoder.layers.23.self_attn.q_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2009" name="self.vision_tower.vision_model.encoder.layers.23.self_attn.q_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="362997556" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.23.self_attn.q_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2010" name="__module.vision_tower.vision_model.encoder.layers.23.self_attn.q_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2011" name="__module.vision_tower.vision_model.encoder.layers.23.self_attn.q_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1399,query_states.47">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2012" name="Constant_153912" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2013" name="__module.vision_tower.vision_model.encoder.layers.23.self_attn/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1407">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2014" name="__module.vision_tower.vision_model.encoder.layers.23.self_attn/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2015" name="__module.vision_tower.vision_model.encoder.layers.23.self_attn/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1408">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2016" name="self.vision_tower.vision_model.encoder.layers.23.self_attn.k_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="362999860" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2017" name="Convert_2152202" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2018" name="self.vision_tower.vision_model.encoder.layers.23.self_attn.k_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="364326964" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2019" name="self.vision_tower.vision_model.encoder.layers.23.self_attn.k_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2020" name="__module.vision_tower.vision_model.encoder.layers.23.self_attn.k_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2021" name="__module.vision_tower.vision_model.encoder.layers.23.self_attn.k_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2022" name="self.vision_tower.vision_model.encoder.layers.23.self_attn.k_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="364329268" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.23.self_attn.k_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2023" name="__module.vision_tower.vision_model.encoder.layers.23.self_attn.k_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2024" name="__module.vision_tower.vision_model.encoder.layers.23.self_attn.k_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1402,key_states.47">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2025" name="Constant_153913" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2026" name="__module.vision_tower.vision_model.encoder.layers.23.self_attn/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1410">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2027" name="__module.vision_tower.vision_model.encoder.layers.23.self_attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2028" name="__module.vision_tower.vision_model.encoder.layers.23.self_attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1411">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2029" name="self.vision_tower.vision_model.encoder.layers.23.self_attn.v_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="364331572" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2030" name="Convert_2147310" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2031" name="self.vision_tower.vision_model.encoder.layers.23.self_attn.v_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="365658676" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2032" name="self.vision_tower.vision_model.encoder.layers.23.self_attn.v_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2033" name="__module.vision_tower.vision_model.encoder.layers.23.self_attn.v_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2034" name="__module.vision_tower.vision_model.encoder.layers.23.self_attn.v_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2035" name="self.vision_tower.vision_model.encoder.layers.23.self_attn.v_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="365660980" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.23.self_attn.v_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2036" name="__module.vision_tower.vision_model.encoder.layers.23.self_attn.v_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2037" name="__module.vision_tower.vision_model.encoder.layers.23.self_attn.v_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1405,value_states.47">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2038" name="Constant_153914" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2039" name="__module.vision_tower.vision_model.encoder.layers.23.self_attn/aten::view/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1413">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2040" name="__module.vision_tower.vision_model.encoder.layers.23.self_attn/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2041" name="__module.vision_tower.vision_model.encoder.layers.23.self_attn/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1414">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2042" name="__module.vision_tower.vision_model.encoder.layers.23.self_attn/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="1415,attn_output.93">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2043" name="__module.vision_tower.vision_model.encoder.layers.23.self_attn/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2044" name="__module.vision_tower.vision_model.encoder.layers.23.self_attn/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1416">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2045" name="Constant_153915" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="14142300" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2046" name="__module.vision_tower.vision_model.encoder.layers.23.self_attn/aten::view/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1419">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2047" name="self.vision_tower.vision_model.encoder.layers.23.self_attn.out_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="365663284" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2048" name="Convert_2161986" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2049" name="self.vision_tower.vision_model.encoder.layers.23.self_attn.out_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="366990388" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2050" name="self.vision_tower.vision_model.encoder.layers.23.self_attn.out_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2051" name="__module.vision_tower.vision_model.encoder.layers.23.self_attn.out_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2052" name="__module.vision_tower.vision_model.encoder.layers.23.self_attn.out_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2053" name="self.vision_tower.vision_model.encoder.layers.23.self_attn.out_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="366992692" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.23.self_attn.out_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2054" name="__module.vision_tower.vision_model.encoder.layers.23.self_attn.out_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2055" name="__module.vision_tower.vision_model.encoder.layers.23.self_attn.out_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1422,hidden_states.141">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2056" name="__module.vision_tower.vision_model.encoder.layers.23/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1423,residual.95">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2057" name="__module.vision_tower.vision_model.encoder.layers.23.layer_norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2058" name="__module.vision_tower.vision_model.encoder.layers.23.layer_norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2059" name="Constant_153437" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="366994996" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2060" name="__module.vision_tower.vision_model.encoder.layers.23.layer_norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2061" name="Constant_153438" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="366999604" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2062" name="__module.vision_tower.vision_model.encoder.layers.23.layer_norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1427">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2063" name="self.vision_tower.vision_model.encoder.layers.23.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4304, 1152" offset="367004212" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2064" name="Convert_1653288" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2065" name="self.vision_tower.vision_model.encoder.layers.23.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4304, 1" offset="371962420" size="8608" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2066" name="self.vision_tower.vision_model.encoder.layers.23.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2067" name="__module.vision_tower.vision_model.encoder.layers.23.mlp.fc1/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2068" name="__module.vision_tower.vision_model.encoder.layers.23.mlp.fc1/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2069" name="self.vision_tower.vision_model.encoder.layers.23.mlp.fc1.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="4304" offset="371971028" size="8608" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.23.mlp.fc1.bias">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2070" name="__module.vision_tower.vision_model.encoder.layers.23.mlp.fc1/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2071" name="__module.vision_tower.vision_model.encoder.layers.23.mlp.fc1/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1433">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2072" name="__module.vision_tower.vision_model.encoder.layers.23.mlp.activation_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="TANH" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="1434">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2073" name="self.vision_tower.vision_model.encoder.layers.23.mlp.fc2.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 4304" offset="371979636" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2074" name="Convert_1658180" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2075" name="self.vision_tower.vision_model.encoder.layers.23.mlp.fc2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="376937844" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2076" name="self.vision_tower.vision_model.encoder.layers.23.mlp.fc2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2077" name="__module.vision_tower.vision_model.encoder.layers.23.mlp.fc2/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2078" name="__module.vision_tower.vision_model.encoder.layers.23.mlp.fc2/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2079" name="self.vision_tower.vision_model.encoder.layers.23.mlp.fc2.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="376940148" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.23.mlp.fc2.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2080" name="__module.vision_tower.vision_model.encoder.layers.23.mlp.fc2/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2081" name="__module.vision_tower.vision_model.encoder.layers.23.mlp.fc2/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1437,hidden_states.143">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2082" name="__module.vision_tower.vision_model.encoder.layers.23/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1438,residual.97">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2083" name="__module.vision_tower.vision_model.encoder.layers.24.layer_norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2084" name="__module.vision_tower.vision_model.encoder.layers.24.layer_norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2085" name="Constant_153439" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="376942452" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2086" name="__module.vision_tower.vision_model.encoder.layers.24.layer_norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2087" name="Constant_153440" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="376947060" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2088" name="__module.vision_tower.vision_model.encoder.layers.24.layer_norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1446,hidden_states.145">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2089" name="self.vision_tower.vision_model.encoder.layers.24.self_attn.q_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="376951668" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2090" name="Convert_2176662" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2091" name="self.vision_tower.vision_model.encoder.layers.24.self_attn.q_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="378278772" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2092" name="self.vision_tower.vision_model.encoder.layers.24.self_attn.q_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2093" name="__module.vision_tower.vision_model.encoder.layers.24.self_attn.q_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2094" name="__module.vision_tower.vision_model.encoder.layers.24.self_attn.q_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2095" name="self.vision_tower.vision_model.encoder.layers.24.self_attn.q_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="378281076" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.24.self_attn.q_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2096" name="__module.vision_tower.vision_model.encoder.layers.24.self_attn.q_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2097" name="__module.vision_tower.vision_model.encoder.layers.24.self_attn.q_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1455,query_states.49">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2098" name="Constant_153916" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2099" name="__module.vision_tower.vision_model.encoder.layers.24.self_attn/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1463">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2100" name="__module.vision_tower.vision_model.encoder.layers.24.self_attn/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2101" name="__module.vision_tower.vision_model.encoder.layers.24.self_attn/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1464">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2102" name="self.vision_tower.vision_model.encoder.layers.24.self_attn.k_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="378283380" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2103" name="Convert_2171770" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2104" name="self.vision_tower.vision_model.encoder.layers.24.self_attn.k_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="379610484" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2105" name="self.vision_tower.vision_model.encoder.layers.24.self_attn.k_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2106" name="__module.vision_tower.vision_model.encoder.layers.24.self_attn.k_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2107" name="__module.vision_tower.vision_model.encoder.layers.24.self_attn.k_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2108" name="self.vision_tower.vision_model.encoder.layers.24.self_attn.k_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="379612788" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.24.self_attn.k_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2109" name="__module.vision_tower.vision_model.encoder.layers.24.self_attn.k_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2110" name="__module.vision_tower.vision_model.encoder.layers.24.self_attn.k_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1458,key_states.49">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2111" name="Constant_153917" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2112" name="__module.vision_tower.vision_model.encoder.layers.24.self_attn/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1466">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2113" name="__module.vision_tower.vision_model.encoder.layers.24.self_attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2114" name="__module.vision_tower.vision_model.encoder.layers.24.self_attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1467">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2115" name="self.vision_tower.vision_model.encoder.layers.24.self_attn.v_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="379615092" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2116" name="Convert_2166878" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2117" name="self.vision_tower.vision_model.encoder.layers.24.self_attn.v_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="380942196" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2118" name="self.vision_tower.vision_model.encoder.layers.24.self_attn.v_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2119" name="__module.vision_tower.vision_model.encoder.layers.24.self_attn.v_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2120" name="__module.vision_tower.vision_model.encoder.layers.24.self_attn.v_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2121" name="self.vision_tower.vision_model.encoder.layers.24.self_attn.v_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="380944500" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.24.self_attn.v_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2122" name="__module.vision_tower.vision_model.encoder.layers.24.self_attn.v_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2123" name="__module.vision_tower.vision_model.encoder.layers.24.self_attn.v_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1461,value_states.49">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2124" name="Constant_153918" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2125" name="__module.vision_tower.vision_model.encoder.layers.24.self_attn/aten::view/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1469">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2126" name="__module.vision_tower.vision_model.encoder.layers.24.self_attn/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2127" name="__module.vision_tower.vision_model.encoder.layers.24.self_attn/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1470">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2128" name="__module.vision_tower.vision_model.encoder.layers.24.self_attn/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="1471,attn_output.97">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2129" name="__module.vision_tower.vision_model.encoder.layers.24.self_attn/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2130" name="__module.vision_tower.vision_model.encoder.layers.24.self_attn/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1472">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2131" name="Constant_153919" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="14142300" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2132" name="__module.vision_tower.vision_model.encoder.layers.24.self_attn/aten::view/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1475">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2133" name="self.vision_tower.vision_model.encoder.layers.24.self_attn.out_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="380946804" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2134" name="Convert_2181554" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2135" name="self.vision_tower.vision_model.encoder.layers.24.self_attn.out_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="382273908" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2136" name="self.vision_tower.vision_model.encoder.layers.24.self_attn.out_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2137" name="__module.vision_tower.vision_model.encoder.layers.24.self_attn.out_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2138" name="__module.vision_tower.vision_model.encoder.layers.24.self_attn.out_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2139" name="self.vision_tower.vision_model.encoder.layers.24.self_attn.out_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="382276212" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.24.self_attn.out_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2140" name="__module.vision_tower.vision_model.encoder.layers.24.self_attn.out_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2141" name="__module.vision_tower.vision_model.encoder.layers.24.self_attn.out_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1478,hidden_states.147">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2142" name="__module.vision_tower.vision_model.encoder.layers.24/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1479,residual.99">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2143" name="__module.vision_tower.vision_model.encoder.layers.24.layer_norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2144" name="__module.vision_tower.vision_model.encoder.layers.24.layer_norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2145" name="Constant_153441" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="382278516" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2146" name="__module.vision_tower.vision_model.encoder.layers.24.layer_norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2147" name="Constant_153442" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="382283124" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2148" name="__module.vision_tower.vision_model.encoder.layers.24.layer_norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1483">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2149" name="self.vision_tower.vision_model.encoder.layers.24.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4304, 1152" offset="382287732" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2150" name="Convert_1663072" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2151" name="self.vision_tower.vision_model.encoder.layers.24.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4304, 1" offset="387245940" size="8608" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2152" name="self.vision_tower.vision_model.encoder.layers.24.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2153" name="__module.vision_tower.vision_model.encoder.layers.24.mlp.fc1/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2154" name="__module.vision_tower.vision_model.encoder.layers.24.mlp.fc1/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2155" name="self.vision_tower.vision_model.encoder.layers.24.mlp.fc1.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="4304" offset="387254548" size="8608" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.24.mlp.fc1.bias">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2156" name="__module.vision_tower.vision_model.encoder.layers.24.mlp.fc1/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2157" name="__module.vision_tower.vision_model.encoder.layers.24.mlp.fc1/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1489">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2158" name="__module.vision_tower.vision_model.encoder.layers.24.mlp.activation_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="TANH" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="1490">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2159" name="self.vision_tower.vision_model.encoder.layers.24.mlp.fc2.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 4304" offset="387263156" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2160" name="Convert_1667964" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2161" name="self.vision_tower.vision_model.encoder.layers.24.mlp.fc2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="392221364" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2162" name="self.vision_tower.vision_model.encoder.layers.24.mlp.fc2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2163" name="__module.vision_tower.vision_model.encoder.layers.24.mlp.fc2/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2164" name="__module.vision_tower.vision_model.encoder.layers.24.mlp.fc2/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2165" name="self.vision_tower.vision_model.encoder.layers.24.mlp.fc2.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="392223668" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.24.mlp.fc2.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2166" name="__module.vision_tower.vision_model.encoder.layers.24.mlp.fc2/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2167" name="__module.vision_tower.vision_model.encoder.layers.24.mlp.fc2/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1493,hidden_states.149">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2168" name="__module.vision_tower.vision_model.encoder.layers.24/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1494,residual.101">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2169" name="__module.vision_tower.vision_model.encoder.layers.25.layer_norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2170" name="__module.vision_tower.vision_model.encoder.layers.25.layer_norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2171" name="Constant_153443" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="392225972" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2172" name="__module.vision_tower.vision_model.encoder.layers.25.layer_norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2173" name="Constant_153444" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="392230580" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2174" name="__module.vision_tower.vision_model.encoder.layers.25.layer_norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1502,hidden_states.151">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2175" name="self.vision_tower.vision_model.encoder.layers.25.self_attn.q_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="392235188" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2176" name="Convert_2196230" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2177" name="self.vision_tower.vision_model.encoder.layers.25.self_attn.q_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="393562292" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2178" name="self.vision_tower.vision_model.encoder.layers.25.self_attn.q_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2179" name="__module.vision_tower.vision_model.encoder.layers.25.self_attn.q_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2180" name="__module.vision_tower.vision_model.encoder.layers.25.self_attn.q_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2181" name="self.vision_tower.vision_model.encoder.layers.25.self_attn.q_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="393564596" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.25.self_attn.q_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2182" name="__module.vision_tower.vision_model.encoder.layers.25.self_attn.q_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2183" name="__module.vision_tower.vision_model.encoder.layers.25.self_attn.q_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1511,query_states.51">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2184" name="Constant_153920" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2185" name="__module.vision_tower.vision_model.encoder.layers.25.self_attn/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1519">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2186" name="__module.vision_tower.vision_model.encoder.layers.25.self_attn/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2187" name="__module.vision_tower.vision_model.encoder.layers.25.self_attn/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1520">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2188" name="self.vision_tower.vision_model.encoder.layers.25.self_attn.k_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="393566900" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2189" name="Convert_2191338" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2190" name="self.vision_tower.vision_model.encoder.layers.25.self_attn.k_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="394894004" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2191" name="self.vision_tower.vision_model.encoder.layers.25.self_attn.k_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2192" name="__module.vision_tower.vision_model.encoder.layers.25.self_attn.k_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2193" name="__module.vision_tower.vision_model.encoder.layers.25.self_attn.k_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2194" name="self.vision_tower.vision_model.encoder.layers.25.self_attn.k_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="394896308" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.25.self_attn.k_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2195" name="__module.vision_tower.vision_model.encoder.layers.25.self_attn.k_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2196" name="__module.vision_tower.vision_model.encoder.layers.25.self_attn.k_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1514,key_states.51">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2197" name="Constant_153921" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2198" name="__module.vision_tower.vision_model.encoder.layers.25.self_attn/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1522">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2199" name="__module.vision_tower.vision_model.encoder.layers.25.self_attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2200" name="__module.vision_tower.vision_model.encoder.layers.25.self_attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1523">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2201" name="self.vision_tower.vision_model.encoder.layers.25.self_attn.v_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="394898612" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2202" name="Convert_2186446" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2203" name="self.vision_tower.vision_model.encoder.layers.25.self_attn.v_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="396225716" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2204" name="self.vision_tower.vision_model.encoder.layers.25.self_attn.v_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2205" name="__module.vision_tower.vision_model.encoder.layers.25.self_attn.v_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2206" name="__module.vision_tower.vision_model.encoder.layers.25.self_attn.v_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2207" name="self.vision_tower.vision_model.encoder.layers.25.self_attn.v_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="396228020" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.25.self_attn.v_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2208" name="__module.vision_tower.vision_model.encoder.layers.25.self_attn.v_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2209" name="__module.vision_tower.vision_model.encoder.layers.25.self_attn.v_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1517,value_states.51">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2210" name="Constant_153922" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2211" name="__module.vision_tower.vision_model.encoder.layers.25.self_attn/aten::view/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1525">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2212" name="__module.vision_tower.vision_model.encoder.layers.25.self_attn/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2213" name="__module.vision_tower.vision_model.encoder.layers.25.self_attn/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1526">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2214" name="__module.vision_tower.vision_model.encoder.layers.25.self_attn/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="1527,attn_output.101">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2215" name="__module.vision_tower.vision_model.encoder.layers.25.self_attn/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2216" name="__module.vision_tower.vision_model.encoder.layers.25.self_attn/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1528">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2217" name="Constant_153923" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="14142300" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2218" name="__module.vision_tower.vision_model.encoder.layers.25.self_attn/aten::view/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1531">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2219" name="self.vision_tower.vision_model.encoder.layers.25.self_attn.out_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="396230324" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2220" name="Convert_2201122" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2221" name="self.vision_tower.vision_model.encoder.layers.25.self_attn.out_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="397557428" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2222" name="self.vision_tower.vision_model.encoder.layers.25.self_attn.out_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2223" name="__module.vision_tower.vision_model.encoder.layers.25.self_attn.out_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2224" name="__module.vision_tower.vision_model.encoder.layers.25.self_attn.out_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2225" name="self.vision_tower.vision_model.encoder.layers.25.self_attn.out_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="397559732" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.25.self_attn.out_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2226" name="__module.vision_tower.vision_model.encoder.layers.25.self_attn.out_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2227" name="__module.vision_tower.vision_model.encoder.layers.25.self_attn.out_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1534,hidden_states.153">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2228" name="__module.vision_tower.vision_model.encoder.layers.25/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1535,residual.103">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2229" name="__module.vision_tower.vision_model.encoder.layers.25.layer_norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2230" name="__module.vision_tower.vision_model.encoder.layers.25.layer_norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2231" name="Constant_153445" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="397562036" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2232" name="__module.vision_tower.vision_model.encoder.layers.25.layer_norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2233" name="Constant_153446" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="397566644" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2234" name="__module.vision_tower.vision_model.encoder.layers.25.layer_norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1539">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2235" name="self.vision_tower.vision_model.encoder.layers.25.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4304, 1152" offset="397571252" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2236" name="Convert_1672856" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2237" name="self.vision_tower.vision_model.encoder.layers.25.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4304, 1" offset="402529460" size="8608" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2238" name="self.vision_tower.vision_model.encoder.layers.25.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2239" name="__module.vision_tower.vision_model.encoder.layers.25.mlp.fc1/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2240" name="__module.vision_tower.vision_model.encoder.layers.25.mlp.fc1/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2241" name="self.vision_tower.vision_model.encoder.layers.25.mlp.fc1.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="4304" offset="402538068" size="8608" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.25.mlp.fc1.bias">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2242" name="__module.vision_tower.vision_model.encoder.layers.25.mlp.fc1/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2243" name="__module.vision_tower.vision_model.encoder.layers.25.mlp.fc1/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1545">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2244" name="__module.vision_tower.vision_model.encoder.layers.25.mlp.activation_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="TANH" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="1546">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2245" name="self.vision_tower.vision_model.encoder.layers.25.mlp.fc2.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 4304" offset="402546676" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2246" name="Convert_1677748" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2247" name="self.vision_tower.vision_model.encoder.layers.25.mlp.fc2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="407504884" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2248" name="self.vision_tower.vision_model.encoder.layers.25.mlp.fc2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2249" name="__module.vision_tower.vision_model.encoder.layers.25.mlp.fc2/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2250" name="__module.vision_tower.vision_model.encoder.layers.25.mlp.fc2/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2251" name="self.vision_tower.vision_model.encoder.layers.25.mlp.fc2.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="407507188" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.25.mlp.fc2.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2252" name="__module.vision_tower.vision_model.encoder.layers.25.mlp.fc2/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2253" name="__module.vision_tower.vision_model.encoder.layers.25.mlp.fc2/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1549,hidden_states.155">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2254" name="__module.vision_tower.vision_model.encoder.layers.25/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1550,residual.105">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2255" name="__module.vision_tower.vision_model.encoder.layers.26.layer_norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2256" name="__module.vision_tower.vision_model.encoder.layers.26.layer_norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2257" name="Constant_153447" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="407509492" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2258" name="__module.vision_tower.vision_model.encoder.layers.26.layer_norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2259" name="Constant_153448" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="407514100" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2260" name="__module.vision_tower.vision_model.encoder.layers.26.layer_norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1558,hidden_states.157">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2261" name="self.vision_tower.vision_model.encoder.layers.26.self_attn.q_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="407518708" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2262" name="Convert_2215798" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2263" name="self.vision_tower.vision_model.encoder.layers.26.self_attn.q_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="408845812" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2264" name="self.vision_tower.vision_model.encoder.layers.26.self_attn.q_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2265" name="__module.vision_tower.vision_model.encoder.layers.26.self_attn.q_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2266" name="__module.vision_tower.vision_model.encoder.layers.26.self_attn.q_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2267" name="self.vision_tower.vision_model.encoder.layers.26.self_attn.q_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="408848116" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.26.self_attn.q_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2268" name="__module.vision_tower.vision_model.encoder.layers.26.self_attn.q_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2269" name="__module.vision_tower.vision_model.encoder.layers.26.self_attn.q_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1567,query_states">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2270" name="Constant_153924" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2271" name="__module.vision_tower.vision_model.encoder.layers.26.self_attn/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1575">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2272" name="__module.vision_tower.vision_model.encoder.layers.26.self_attn/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2273" name="__module.vision_tower.vision_model.encoder.layers.26.self_attn/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1576">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2274" name="self.vision_tower.vision_model.encoder.layers.26.self_attn.k_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="408850420" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2275" name="Convert_2210906" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2276" name="self.vision_tower.vision_model.encoder.layers.26.self_attn.k_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="410177524" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2277" name="self.vision_tower.vision_model.encoder.layers.26.self_attn.k_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2278" name="__module.vision_tower.vision_model.encoder.layers.26.self_attn.k_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2279" name="__module.vision_tower.vision_model.encoder.layers.26.self_attn.k_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2280" name="self.vision_tower.vision_model.encoder.layers.26.self_attn.k_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="410179828" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.26.self_attn.k_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2281" name="__module.vision_tower.vision_model.encoder.layers.26.self_attn.k_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2282" name="__module.vision_tower.vision_model.encoder.layers.26.self_attn.k_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1570,key_states">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2283" name="Constant_153925" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2284" name="__module.vision_tower.vision_model.encoder.layers.26.self_attn/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1578">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2285" name="__module.vision_tower.vision_model.encoder.layers.26.self_attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2286" name="__module.vision_tower.vision_model.encoder.layers.26.self_attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1579">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2287" name="self.vision_tower.vision_model.encoder.layers.26.self_attn.v_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="410182132" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2288" name="Convert_2206014" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2289" name="self.vision_tower.vision_model.encoder.layers.26.self_attn.v_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="411509236" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2290" name="self.vision_tower.vision_model.encoder.layers.26.self_attn.v_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2291" name="__module.vision_tower.vision_model.encoder.layers.26.self_attn.v_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2292" name="__module.vision_tower.vision_model.encoder.layers.26.self_attn.v_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2293" name="self.vision_tower.vision_model.encoder.layers.26.self_attn.v_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="411511540" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.26.self_attn.v_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2294" name="__module.vision_tower.vision_model.encoder.layers.26.self_attn.v_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2295" name="__module.vision_tower.vision_model.encoder.layers.26.self_attn.v_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1573,value_states">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2296" name="Constant_153926" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11478828" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2297" name="__module.vision_tower.vision_model.encoder.layers.26.self_attn/aten::view/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1581">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2298" name="__module.vision_tower.vision_model.encoder.layers.26.self_attn/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2299" name="__module.vision_tower.vision_model.encoder.layers.26.self_attn/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1582">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2300" name="__module.vision_tower.vision_model.encoder.layers.26.self_attn/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="1583,attn_output.105">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2301" name="__module.vision_tower.vision_model.encoder.layers.26.self_attn/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="11478860" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2302" name="__module.vision_tower.vision_model.encoder.layers.26.self_attn/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1584">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2303" name="Constant_153927" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="14142300" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2304" name="__module.vision_tower.vision_model.encoder.layers.26.self_attn/aten::view/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>16</dim>
+					<dim>72</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1587">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2305" name="self.vision_tower.vision_model.encoder.layers.26.self_attn.out_proj.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 1152" offset="411513844" size="1327104" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2306" name="Convert_2220690" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2307" name="self.vision_tower.vision_model.encoder.layers.26.self_attn.out_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="412840948" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2308" name="self.vision_tower.vision_model.encoder.layers.26.self_attn.out_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2309" name="__module.vision_tower.vision_model.encoder.layers.26.self_attn.out_proj/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2310" name="__module.vision_tower.vision_model.encoder.layers.26.self_attn.out_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2311" name="self.vision_tower.vision_model.encoder.layers.26.self_attn.out_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="412843252" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.26.self_attn.out_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2312" name="__module.vision_tower.vision_model.encoder.layers.26.self_attn.out_proj/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2313" name="__module.vision_tower.vision_model.encoder.layers.26.self_attn.out_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1590,hidden_states.159">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2314" name="__module.vision_tower.vision_model.encoder.layers.26/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1591,residual">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2315" name="__module.vision_tower.vision_model.encoder.layers.26.layer_norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2316" name="__module.vision_tower.vision_model.encoder.layers.26.layer_norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2317" name="Constant_153449" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="412845556" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2318" name="__module.vision_tower.vision_model.encoder.layers.26.layer_norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2319" name="Constant_153450" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="412850164" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2320" name="__module.vision_tower.vision_model.encoder.layers.26.layer_norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1595">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2321" name="self.vision_tower.vision_model.encoder.layers.26.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4304, 1152" offset="412854772" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2322" name="Convert_1682640" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2323" name="self.vision_tower.vision_model.encoder.layers.26.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4304, 1" offset="417812980" size="8608" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2324" name="self.vision_tower.vision_model.encoder.layers.26.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4304</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2325" name="__module.vision_tower.vision_model.encoder.layers.26.mlp.fc1/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2326" name="__module.vision_tower.vision_model.encoder.layers.26.mlp.fc1/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2327" name="self.vision_tower.vision_model.encoder.layers.26.mlp.fc1.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="4304" offset="417821588" size="8608" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.26.mlp.fc1.bias">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2328" name="__module.vision_tower.vision_model.encoder.layers.26.mlp.fc1/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2329" name="__module.vision_tower.vision_model.encoder.layers.26.mlp.fc1/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1601">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2330" name="__module.vision_tower.vision_model.encoder.layers.26.mlp.activation_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="TANH" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="1602">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2331" name="self.vision_tower.vision_model.encoder.layers.26.mlp.fc2.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1152, 4304" offset="417830196" size="4958208" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2332" name="Convert_1687532" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2333" name="self.vision_tower.vision_model.encoder.layers.26.mlp.fc2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1" offset="422788404" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2334" name="self.vision_tower.vision_model.encoder.layers.26.mlp.fc2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2335" name="__module.vision_tower.vision_model.encoder.layers.26.mlp.fc2/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2336" name="__module.vision_tower.vision_model.encoder.layers.26.mlp.fc2/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>4304</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>4304</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2337" name="self.vision_tower.vision_model.encoder.layers.26.mlp.fc2.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="422790708" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.26.mlp.fc2.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2338" name="__module.vision_tower.vision_model.encoder.layers.26.mlp.fc2/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2339" name="__module.vision_tower.vision_model.encoder.layers.26.mlp.fc2/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1605,hidden_states">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2340" name="__module.vision_tower.vision_model.encoder.layers.26/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1606">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2341" name="__module.vision_tower.vision_model.post_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="10137896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2342" name="__module.vision_tower.vision_model.post_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2343" name="Constant_153451" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="422793012" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2344" name="__module.vision_tower.vision_model.post_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2345" name="Constant_153452" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="422797620" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2346" name="__module.vision_tower.vision_model.post_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1610,vision_outputs">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2347" name="__module.multi_modal_projector/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="684312" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2348" name="__module.multi_modal_projector/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4096</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1627,reshaped_vision_outputs.1">
+					<dim>-1</dim>
+					<dim>1152</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2349" name="Constant_153928" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="422802228" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2350" name="__module.multi_modal_projector/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1152</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1629,reshaped_vision_outputs">
+					<dim>-1</dim>
+					<dim>1152</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2351" name="__module.multi_modal_projector.avg_pool/aten::avg_pool2d/AvgPool" type="AvgPool" version="opset14">
+			<data kernel="4, 4" strides="4, 4" pads_begin="0, 0" pads_end="0, 0" exclude-pad="false" auto_pad="explicit" rounding_type="floor" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1152</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="1634,pooled_vision_outputs.1">
+					<dim>-1</dim>
+					<dim>1152</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2352" name="Constant_153929" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="422802260" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2353" name="__module.multi_modal_projector/aten::flatten/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1152</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1635,pooled_vision_outputs">
+					<dim>-1</dim>
+					<dim>1152</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2354" name="__module.multi_modal_projector/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="684312" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2355" name="__module.multi_modal_projector/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1152</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1636,1638,x,x.1">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2356" name="Constant_153455" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1" offset="422802284" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2357" name="Constant_153453" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1" offset="422802288" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2358" name="__module.multi_modal_projector.mm_soft_emb_norm/aten::pow/Power" type="Power" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1639">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2359" name="Constant_146121" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="422802292" size="8" />
+			<output>
+				<port id="0" precision="I64" names="1640">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2360" name="__module.multi_modal_projector.mm_soft_emb_norm/aten::mean/ReduceMean" type="ReduceMean" version="opset1">
+			<data keep_dims="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1641">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2361" name="Constant_153454" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1" offset="422802300" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2362" name="__module.multi_modal_projector.mm_soft_emb_norm/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1642">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2363" name="__module.multi_modal_projector.mm_soft_emb_norm/aten::rsqrt/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2364" name="__module.multi_modal_projector.mm_soft_emb_norm/aten::rsqrt/Divide" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1643">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2365" name="__module.multi_modal_projector.mm_soft_emb_norm/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1644,output.1">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2366" name="Constant_153456" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="422802304" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2367" name="__module.multi_modal_projector.mm_soft_emb_norm/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1647,1648,output">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2368" name="Transpose_153104" type="Const" version="opset1">
+			<data element_type="i8" shape="2560, 1152" offset="422806912" size="2949120" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>2560</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2369" name="Convert_1692353" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>2560</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2370" name="Transpose_153104/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="425756032" size="5120" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2371" name="Transpose_153104/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>2560</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2372" name="Transpose_153104/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2373" name="__module.multi_modal_projector/aten::type_as/ConvertLike" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="last_hidden_state">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2374" name="Result_146245" type="Result" version="opset1" output_names="last_hidden_state">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+		</layer>
+	</layers>
+	<edges>
+		<edge from-layer="0" from-port="0" to-layer="6" to-port="0" />
+		<edge from-layer="1" from-port="0" to-layer="2" to-port="0" />
+		<edge from-layer="2" from-port="1" to-layer="4" to-port="0" />
+		<edge from-layer="3" from-port="0" to-layer="4" to-port="1" />
+		<edge from-layer="4" from-port="2" to-layer="5" to-port="0" />
+		<edge from-layer="5" from-port="1" to-layer="6" to-port="1" />
+		<edge from-layer="6" from-port="2" to-layer="8" to-port="0" />
+		<edge from-layer="7" from-port="0" to-layer="8" to-port="1" />
+		<edge from-layer="8" from-port="2" to-layer="10" to-port="0" />
+		<edge from-layer="9" from-port="0" to-layer="10" to-port="1" />
+		<edge from-layer="10" from-port="2" to-layer="12" to-port="0" />
+		<edge from-layer="11" from-port="0" to-layer="12" to-port="1" />
+		<edge from-layer="12" from-port="2" to-layer="18" to-port="0" />
+		<edge from-layer="13" from-port="0" to-layer="14" to-port="0" />
+		<edge from-layer="14" from-port="1" to-layer="17" to-port="0" />
+		<edge from-layer="15" from-port="0" to-layer="17" to-port="1" />
+		<edge from-layer="16" from-port="0" to-layer="17" to-port="2" />
+		<edge from-layer="17" from-port="3" to-layer="18" to-port="1" />
+		<edge from-layer="18" from-port="2" to-layer="20" to-port="0" />
+		<edge from-layer="18" from-port="2" to-layer="78" to-port="0" />
+		<edge from-layer="19" from-port="0" to-layer="20" to-port="1" />
+		<edge from-layer="20" from-port="2" to-layer="22" to-port="0" />
+		<edge from-layer="21" from-port="0" to-layer="22" to-port="1" />
+		<edge from-layer="22" from-port="2" to-layer="24" to-port="0" />
+		<edge from-layer="23" from-port="0" to-layer="24" to-port="1" />
+		<edge from-layer="24" from-port="2" to-layer="56" to-port="0" />
+		<edge from-layer="24" from-port="2" to-layer="43" to-port="0" />
+		<edge from-layer="24" from-port="2" to-layer="30" to-port="0" />
+		<edge from-layer="25" from-port="0" to-layer="26" to-port="0" />
+		<edge from-layer="26" from-port="1" to-layer="28" to-port="0" />
+		<edge from-layer="27" from-port="0" to-layer="28" to-port="1" />
+		<edge from-layer="28" from-port="2" to-layer="29" to-port="0" />
+		<edge from-layer="29" from-port="1" to-layer="30" to-port="1" />
+		<edge from-layer="30" from-port="2" to-layer="33" to-port="0" />
+		<edge from-layer="31" from-port="0" to-layer="32" to-port="0" />
+		<edge from-layer="32" from-port="1" to-layer="33" to-port="1" />
+		<edge from-layer="33" from-port="2" to-layer="35" to-port="0" />
+		<edge from-layer="34" from-port="0" to-layer="35" to-port="1" />
+		<edge from-layer="35" from-port="2" to-layer="37" to-port="0" />
+		<edge from-layer="36" from-port="0" to-layer="37" to-port="1" />
+		<edge from-layer="37" from-port="2" to-layer="64" to-port="0" />
+		<edge from-layer="38" from-port="0" to-layer="39" to-port="0" />
+		<edge from-layer="39" from-port="1" to-layer="41" to-port="0" />
+		<edge from-layer="40" from-port="0" to-layer="41" to-port="1" />
+		<edge from-layer="41" from-port="2" to-layer="42" to-port="0" />
+		<edge from-layer="42" from-port="1" to-layer="43" to-port="1" />
+		<edge from-layer="43" from-port="2" to-layer="46" to-port="0" />
+		<edge from-layer="44" from-port="0" to-layer="45" to-port="0" />
+		<edge from-layer="45" from-port="1" to-layer="46" to-port="1" />
+		<edge from-layer="46" from-port="2" to-layer="48" to-port="0" />
+		<edge from-layer="47" from-port="0" to-layer="48" to-port="1" />
+		<edge from-layer="48" from-port="2" to-layer="50" to-port="0" />
+		<edge from-layer="49" from-port="0" to-layer="50" to-port="1" />
+		<edge from-layer="50" from-port="2" to-layer="64" to-port="1" />
+		<edge from-layer="51" from-port="0" to-layer="52" to-port="0" />
+		<edge from-layer="52" from-port="1" to-layer="54" to-port="0" />
+		<edge from-layer="53" from-port="0" to-layer="54" to-port="1" />
+		<edge from-layer="54" from-port="2" to-layer="55" to-port="0" />
+		<edge from-layer="55" from-port="1" to-layer="56" to-port="1" />
+		<edge from-layer="56" from-port="2" to-layer="59" to-port="0" />
+		<edge from-layer="57" from-port="0" to-layer="58" to-port="0" />
+		<edge from-layer="58" from-port="1" to-layer="59" to-port="1" />
+		<edge from-layer="59" from-port="2" to-layer="61" to-port="0" />
+		<edge from-layer="60" from-port="0" to-layer="61" to-port="1" />
+		<edge from-layer="61" from-port="2" to-layer="63" to-port="0" />
+		<edge from-layer="62" from-port="0" to-layer="63" to-port="1" />
+		<edge from-layer="63" from-port="2" to-layer="64" to-port="2" />
+		<edge from-layer="64" from-port="3" to-layer="66" to-port="0" />
+		<edge from-layer="65" from-port="0" to-layer="66" to-port="1" />
+		<edge from-layer="66" from-port="2" to-layer="68" to-port="0" />
+		<edge from-layer="67" from-port="0" to-layer="68" to-port="1" />
+		<edge from-layer="68" from-port="2" to-layer="74" to-port="0" />
+		<edge from-layer="69" from-port="0" to-layer="70" to-port="0" />
+		<edge from-layer="70" from-port="1" to-layer="72" to-port="0" />
+		<edge from-layer="71" from-port="0" to-layer="72" to-port="1" />
+		<edge from-layer="72" from-port="2" to-layer="73" to-port="0" />
+		<edge from-layer="73" from-port="1" to-layer="74" to-port="1" />
+		<edge from-layer="74" from-port="2" to-layer="77" to-port="0" />
+		<edge from-layer="75" from-port="0" to-layer="76" to-port="0" />
+		<edge from-layer="76" from-port="1" to-layer="77" to-port="1" />
+		<edge from-layer="77" from-port="2" to-layer="78" to-port="1" />
+		<edge from-layer="78" from-port="2" to-layer="80" to-port="0" />
+		<edge from-layer="78" from-port="2" to-layer="104" to-port="0" />
+		<edge from-layer="79" from-port="0" to-layer="80" to-port="1" />
+		<edge from-layer="80" from-port="2" to-layer="82" to-port="0" />
+		<edge from-layer="81" from-port="0" to-layer="82" to-port="1" />
+		<edge from-layer="82" from-port="2" to-layer="84" to-port="0" />
+		<edge from-layer="83" from-port="0" to-layer="84" to-port="1" />
+		<edge from-layer="84" from-port="2" to-layer="90" to-port="0" />
+		<edge from-layer="85" from-port="0" to-layer="86" to-port="0" />
+		<edge from-layer="86" from-port="1" to-layer="88" to-port="0" />
+		<edge from-layer="87" from-port="0" to-layer="88" to-port="1" />
+		<edge from-layer="88" from-port="2" to-layer="89" to-port="0" />
+		<edge from-layer="89" from-port="1" to-layer="90" to-port="1" />
+		<edge from-layer="90" from-port="2" to-layer="93" to-port="0" />
+		<edge from-layer="91" from-port="0" to-layer="92" to-port="0" />
+		<edge from-layer="92" from-port="1" to-layer="93" to-port="1" />
+		<edge from-layer="93" from-port="2" to-layer="94" to-port="0" />
+		<edge from-layer="94" from-port="1" to-layer="100" to-port="0" />
+		<edge from-layer="95" from-port="0" to-layer="96" to-port="0" />
+		<edge from-layer="96" from-port="1" to-layer="98" to-port="0" />
+		<edge from-layer="97" from-port="0" to-layer="98" to-port="1" />
+		<edge from-layer="98" from-port="2" to-layer="99" to-port="0" />
+		<edge from-layer="99" from-port="1" to-layer="100" to-port="1" />
+		<edge from-layer="100" from-port="2" to-layer="103" to-port="0" />
+		<edge from-layer="101" from-port="0" to-layer="102" to-port="0" />
+		<edge from-layer="102" from-port="1" to-layer="103" to-port="1" />
+		<edge from-layer="103" from-port="2" to-layer="104" to-port="1" />
+		<edge from-layer="104" from-port="2" to-layer="164" to-port="0" />
+		<edge from-layer="104" from-port="2" to-layer="106" to-port="0" />
+		<edge from-layer="105" from-port="0" to-layer="106" to-port="1" />
+		<edge from-layer="106" from-port="2" to-layer="108" to-port="0" />
+		<edge from-layer="107" from-port="0" to-layer="108" to-port="1" />
+		<edge from-layer="108" from-port="2" to-layer="110" to-port="0" />
+		<edge from-layer="109" from-port="0" to-layer="110" to-port="1" />
+		<edge from-layer="110" from-port="2" to-layer="116" to-port="0" />
+		<edge from-layer="110" from-port="2" to-layer="142" to-port="0" />
+		<edge from-layer="110" from-port="2" to-layer="129" to-port="0" />
+		<edge from-layer="111" from-port="0" to-layer="112" to-port="0" />
+		<edge from-layer="112" from-port="1" to-layer="114" to-port="0" />
+		<edge from-layer="113" from-port="0" to-layer="114" to-port="1" />
+		<edge from-layer="114" from-port="2" to-layer="115" to-port="0" />
+		<edge from-layer="115" from-port="1" to-layer="116" to-port="1" />
+		<edge from-layer="116" from-port="2" to-layer="119" to-port="0" />
+		<edge from-layer="117" from-port="0" to-layer="118" to-port="0" />
+		<edge from-layer="118" from-port="1" to-layer="119" to-port="1" />
+		<edge from-layer="119" from-port="2" to-layer="121" to-port="0" />
+		<edge from-layer="120" from-port="0" to-layer="121" to-port="1" />
+		<edge from-layer="121" from-port="2" to-layer="123" to-port="0" />
+		<edge from-layer="122" from-port="0" to-layer="123" to-port="1" />
+		<edge from-layer="123" from-port="2" to-layer="150" to-port="0" />
+		<edge from-layer="124" from-port="0" to-layer="125" to-port="0" />
+		<edge from-layer="125" from-port="1" to-layer="127" to-port="0" />
+		<edge from-layer="126" from-port="0" to-layer="127" to-port="1" />
+		<edge from-layer="127" from-port="2" to-layer="128" to-port="0" />
+		<edge from-layer="128" from-port="1" to-layer="129" to-port="1" />
+		<edge from-layer="129" from-port="2" to-layer="132" to-port="0" />
+		<edge from-layer="130" from-port="0" to-layer="131" to-port="0" />
+		<edge from-layer="131" from-port="1" to-layer="132" to-port="1" />
+		<edge from-layer="132" from-port="2" to-layer="134" to-port="0" />
+		<edge from-layer="133" from-port="0" to-layer="134" to-port="1" />
+		<edge from-layer="134" from-port="2" to-layer="136" to-port="0" />
+		<edge from-layer="135" from-port="0" to-layer="136" to-port="1" />
+		<edge from-layer="136" from-port="2" to-layer="150" to-port="1" />
+		<edge from-layer="137" from-port="0" to-layer="138" to-port="0" />
+		<edge from-layer="138" from-port="1" to-layer="140" to-port="0" />
+		<edge from-layer="139" from-port="0" to-layer="140" to-port="1" />
+		<edge from-layer="140" from-port="2" to-layer="141" to-port="0" />
+		<edge from-layer="141" from-port="1" to-layer="142" to-port="1" />
+		<edge from-layer="142" from-port="2" to-layer="145" to-port="0" />
+		<edge from-layer="143" from-port="0" to-layer="144" to-port="0" />
+		<edge from-layer="144" from-port="1" to-layer="145" to-port="1" />
+		<edge from-layer="145" from-port="2" to-layer="147" to-port="0" />
+		<edge from-layer="146" from-port="0" to-layer="147" to-port="1" />
+		<edge from-layer="147" from-port="2" to-layer="149" to-port="0" />
+		<edge from-layer="148" from-port="0" to-layer="149" to-port="1" />
+		<edge from-layer="149" from-port="2" to-layer="150" to-port="2" />
+		<edge from-layer="150" from-port="3" to-layer="152" to-port="0" />
+		<edge from-layer="151" from-port="0" to-layer="152" to-port="1" />
+		<edge from-layer="152" from-port="2" to-layer="154" to-port="0" />
+		<edge from-layer="153" from-port="0" to-layer="154" to-port="1" />
+		<edge from-layer="154" from-port="2" to-layer="160" to-port="0" />
+		<edge from-layer="155" from-port="0" to-layer="156" to-port="0" />
+		<edge from-layer="156" from-port="1" to-layer="158" to-port="0" />
+		<edge from-layer="157" from-port="0" to-layer="158" to-port="1" />
+		<edge from-layer="158" from-port="2" to-layer="159" to-port="0" />
+		<edge from-layer="159" from-port="1" to-layer="160" to-port="1" />
+		<edge from-layer="160" from-port="2" to-layer="163" to-port="0" />
+		<edge from-layer="161" from-port="0" to-layer="162" to-port="0" />
+		<edge from-layer="162" from-port="1" to-layer="163" to-port="1" />
+		<edge from-layer="163" from-port="2" to-layer="164" to-port="1" />
+		<edge from-layer="164" from-port="2" to-layer="190" to-port="0" />
+		<edge from-layer="164" from-port="2" to-layer="166" to-port="0" />
+		<edge from-layer="165" from-port="0" to-layer="166" to-port="1" />
+		<edge from-layer="166" from-port="2" to-layer="168" to-port="0" />
+		<edge from-layer="167" from-port="0" to-layer="168" to-port="1" />
+		<edge from-layer="168" from-port="2" to-layer="170" to-port="0" />
+		<edge from-layer="169" from-port="0" to-layer="170" to-port="1" />
+		<edge from-layer="170" from-port="2" to-layer="176" to-port="0" />
+		<edge from-layer="171" from-port="0" to-layer="172" to-port="0" />
+		<edge from-layer="172" from-port="1" to-layer="174" to-port="0" />
+		<edge from-layer="173" from-port="0" to-layer="174" to-port="1" />
+		<edge from-layer="174" from-port="2" to-layer="175" to-port="0" />
+		<edge from-layer="175" from-port="1" to-layer="176" to-port="1" />
+		<edge from-layer="176" from-port="2" to-layer="179" to-port="0" />
+		<edge from-layer="177" from-port="0" to-layer="178" to-port="0" />
+		<edge from-layer="178" from-port="1" to-layer="179" to-port="1" />
+		<edge from-layer="179" from-port="2" to-layer="180" to-port="0" />
+		<edge from-layer="180" from-port="1" to-layer="186" to-port="0" />
+		<edge from-layer="181" from-port="0" to-layer="182" to-port="0" />
+		<edge from-layer="182" from-port="1" to-layer="184" to-port="0" />
+		<edge from-layer="183" from-port="0" to-layer="184" to-port="1" />
+		<edge from-layer="184" from-port="2" to-layer="185" to-port="0" />
+		<edge from-layer="185" from-port="1" to-layer="186" to-port="1" />
+		<edge from-layer="186" from-port="2" to-layer="189" to-port="0" />
+		<edge from-layer="187" from-port="0" to-layer="188" to-port="0" />
+		<edge from-layer="188" from-port="1" to-layer="189" to-port="1" />
+		<edge from-layer="189" from-port="2" to-layer="190" to-port="1" />
+		<edge from-layer="190" from-port="2" to-layer="192" to-port="0" />
+		<edge from-layer="190" from-port="2" to-layer="250" to-port="0" />
+		<edge from-layer="191" from-port="0" to-layer="192" to-port="1" />
+		<edge from-layer="192" from-port="2" to-layer="194" to-port="0" />
+		<edge from-layer="193" from-port="0" to-layer="194" to-port="1" />
+		<edge from-layer="194" from-port="2" to-layer="196" to-port="0" />
+		<edge from-layer="195" from-port="0" to-layer="196" to-port="1" />
+		<edge from-layer="196" from-port="2" to-layer="215" to-port="0" />
+		<edge from-layer="196" from-port="2" to-layer="228" to-port="0" />
+		<edge from-layer="196" from-port="2" to-layer="202" to-port="0" />
+		<edge from-layer="197" from-port="0" to-layer="198" to-port="0" />
+		<edge from-layer="198" from-port="1" to-layer="200" to-port="0" />
+		<edge from-layer="199" from-port="0" to-layer="200" to-port="1" />
+		<edge from-layer="200" from-port="2" to-layer="201" to-port="0" />
+		<edge from-layer="201" from-port="1" to-layer="202" to-port="1" />
+		<edge from-layer="202" from-port="2" to-layer="205" to-port="0" />
+		<edge from-layer="203" from-port="0" to-layer="204" to-port="0" />
+		<edge from-layer="204" from-port="1" to-layer="205" to-port="1" />
+		<edge from-layer="205" from-port="2" to-layer="207" to-port="0" />
+		<edge from-layer="206" from-port="0" to-layer="207" to-port="1" />
+		<edge from-layer="207" from-port="2" to-layer="209" to-port="0" />
+		<edge from-layer="208" from-port="0" to-layer="209" to-port="1" />
+		<edge from-layer="209" from-port="2" to-layer="236" to-port="0" />
+		<edge from-layer="210" from-port="0" to-layer="211" to-port="0" />
+		<edge from-layer="211" from-port="1" to-layer="213" to-port="0" />
+		<edge from-layer="212" from-port="0" to-layer="213" to-port="1" />
+		<edge from-layer="213" from-port="2" to-layer="214" to-port="0" />
+		<edge from-layer="214" from-port="1" to-layer="215" to-port="1" />
+		<edge from-layer="215" from-port="2" to-layer="218" to-port="0" />
+		<edge from-layer="216" from-port="0" to-layer="217" to-port="0" />
+		<edge from-layer="217" from-port="1" to-layer="218" to-port="1" />
+		<edge from-layer="218" from-port="2" to-layer="220" to-port="0" />
+		<edge from-layer="219" from-port="0" to-layer="220" to-port="1" />
+		<edge from-layer="220" from-port="2" to-layer="222" to-port="0" />
+		<edge from-layer="221" from-port="0" to-layer="222" to-port="1" />
+		<edge from-layer="222" from-port="2" to-layer="236" to-port="1" />
+		<edge from-layer="223" from-port="0" to-layer="224" to-port="0" />
+		<edge from-layer="224" from-port="1" to-layer="226" to-port="0" />
+		<edge from-layer="225" from-port="0" to-layer="226" to-port="1" />
+		<edge from-layer="226" from-port="2" to-layer="227" to-port="0" />
+		<edge from-layer="227" from-port="1" to-layer="228" to-port="1" />
+		<edge from-layer="228" from-port="2" to-layer="231" to-port="0" />
+		<edge from-layer="229" from-port="0" to-layer="230" to-port="0" />
+		<edge from-layer="230" from-port="1" to-layer="231" to-port="1" />
+		<edge from-layer="231" from-port="2" to-layer="233" to-port="0" />
+		<edge from-layer="232" from-port="0" to-layer="233" to-port="1" />
+		<edge from-layer="233" from-port="2" to-layer="235" to-port="0" />
+		<edge from-layer="234" from-port="0" to-layer="235" to-port="1" />
+		<edge from-layer="235" from-port="2" to-layer="236" to-port="2" />
+		<edge from-layer="236" from-port="3" to-layer="238" to-port="0" />
+		<edge from-layer="237" from-port="0" to-layer="238" to-port="1" />
+		<edge from-layer="238" from-port="2" to-layer="240" to-port="0" />
+		<edge from-layer="239" from-port="0" to-layer="240" to-port="1" />
+		<edge from-layer="240" from-port="2" to-layer="246" to-port="0" />
+		<edge from-layer="241" from-port="0" to-layer="242" to-port="0" />
+		<edge from-layer="242" from-port="1" to-layer="244" to-port="0" />
+		<edge from-layer="243" from-port="0" to-layer="244" to-port="1" />
+		<edge from-layer="244" from-port="2" to-layer="245" to-port="0" />
+		<edge from-layer="245" from-port="1" to-layer="246" to-port="1" />
+		<edge from-layer="246" from-port="2" to-layer="249" to-port="0" />
+		<edge from-layer="247" from-port="0" to-layer="248" to-port="0" />
+		<edge from-layer="248" from-port="1" to-layer="249" to-port="1" />
+		<edge from-layer="249" from-port="2" to-layer="250" to-port="1" />
+		<edge from-layer="250" from-port="2" to-layer="252" to-port="0" />
+		<edge from-layer="250" from-port="2" to-layer="276" to-port="0" />
+		<edge from-layer="251" from-port="0" to-layer="252" to-port="1" />
+		<edge from-layer="252" from-port="2" to-layer="254" to-port="0" />
+		<edge from-layer="253" from-port="0" to-layer="254" to-port="1" />
+		<edge from-layer="254" from-port="2" to-layer="256" to-port="0" />
+		<edge from-layer="255" from-port="0" to-layer="256" to-port="1" />
+		<edge from-layer="256" from-port="2" to-layer="262" to-port="0" />
+		<edge from-layer="257" from-port="0" to-layer="258" to-port="0" />
+		<edge from-layer="258" from-port="1" to-layer="260" to-port="0" />
+		<edge from-layer="259" from-port="0" to-layer="260" to-port="1" />
+		<edge from-layer="260" from-port="2" to-layer="261" to-port="0" />
+		<edge from-layer="261" from-port="1" to-layer="262" to-port="1" />
+		<edge from-layer="262" from-port="2" to-layer="265" to-port="0" />
+		<edge from-layer="263" from-port="0" to-layer="264" to-port="0" />
+		<edge from-layer="264" from-port="1" to-layer="265" to-port="1" />
+		<edge from-layer="265" from-port="2" to-layer="266" to-port="0" />
+		<edge from-layer="266" from-port="1" to-layer="272" to-port="0" />
+		<edge from-layer="267" from-port="0" to-layer="268" to-port="0" />
+		<edge from-layer="268" from-port="1" to-layer="270" to-port="0" />
+		<edge from-layer="269" from-port="0" to-layer="270" to-port="1" />
+		<edge from-layer="270" from-port="2" to-layer="271" to-port="0" />
+		<edge from-layer="271" from-port="1" to-layer="272" to-port="1" />
+		<edge from-layer="272" from-port="2" to-layer="275" to-port="0" />
+		<edge from-layer="273" from-port="0" to-layer="274" to-port="0" />
+		<edge from-layer="274" from-port="1" to-layer="275" to-port="1" />
+		<edge from-layer="275" from-port="2" to-layer="276" to-port="1" />
+		<edge from-layer="276" from-port="2" to-layer="278" to-port="0" />
+		<edge from-layer="276" from-port="2" to-layer="336" to-port="0" />
+		<edge from-layer="277" from-port="0" to-layer="278" to-port="1" />
+		<edge from-layer="278" from-port="2" to-layer="280" to-port="0" />
+		<edge from-layer="279" from-port="0" to-layer="280" to-port="1" />
+		<edge from-layer="280" from-port="2" to-layer="282" to-port="0" />
+		<edge from-layer="281" from-port="0" to-layer="282" to-port="1" />
+		<edge from-layer="282" from-port="2" to-layer="314" to-port="0" />
+		<edge from-layer="282" from-port="2" to-layer="301" to-port="0" />
+		<edge from-layer="282" from-port="2" to-layer="288" to-port="0" />
+		<edge from-layer="283" from-port="0" to-layer="284" to-port="0" />
+		<edge from-layer="284" from-port="1" to-layer="286" to-port="0" />
+		<edge from-layer="285" from-port="0" to-layer="286" to-port="1" />
+		<edge from-layer="286" from-port="2" to-layer="287" to-port="0" />
+		<edge from-layer="287" from-port="1" to-layer="288" to-port="1" />
+		<edge from-layer="288" from-port="2" to-layer="291" to-port="0" />
+		<edge from-layer="289" from-port="0" to-layer="290" to-port="0" />
+		<edge from-layer="290" from-port="1" to-layer="291" to-port="1" />
+		<edge from-layer="291" from-port="2" to-layer="293" to-port="0" />
+		<edge from-layer="292" from-port="0" to-layer="293" to-port="1" />
+		<edge from-layer="293" from-port="2" to-layer="295" to-port="0" />
+		<edge from-layer="294" from-port="0" to-layer="295" to-port="1" />
+		<edge from-layer="295" from-port="2" to-layer="322" to-port="0" />
+		<edge from-layer="296" from-port="0" to-layer="297" to-port="0" />
+		<edge from-layer="297" from-port="1" to-layer="299" to-port="0" />
+		<edge from-layer="298" from-port="0" to-layer="299" to-port="1" />
+		<edge from-layer="299" from-port="2" to-layer="300" to-port="0" />
+		<edge from-layer="300" from-port="1" to-layer="301" to-port="1" />
+		<edge from-layer="301" from-port="2" to-layer="304" to-port="0" />
+		<edge from-layer="302" from-port="0" to-layer="303" to-port="0" />
+		<edge from-layer="303" from-port="1" to-layer="304" to-port="1" />
+		<edge from-layer="304" from-port="2" to-layer="306" to-port="0" />
+		<edge from-layer="305" from-port="0" to-layer="306" to-port="1" />
+		<edge from-layer="306" from-port="2" to-layer="308" to-port="0" />
+		<edge from-layer="307" from-port="0" to-layer="308" to-port="1" />
+		<edge from-layer="308" from-port="2" to-layer="322" to-port="1" />
+		<edge from-layer="309" from-port="0" to-layer="310" to-port="0" />
+		<edge from-layer="310" from-port="1" to-layer="312" to-port="0" />
+		<edge from-layer="311" from-port="0" to-layer="312" to-port="1" />
+		<edge from-layer="312" from-port="2" to-layer="313" to-port="0" />
+		<edge from-layer="313" from-port="1" to-layer="314" to-port="1" />
+		<edge from-layer="314" from-port="2" to-layer="317" to-port="0" />
+		<edge from-layer="315" from-port="0" to-layer="316" to-port="0" />
+		<edge from-layer="316" from-port="1" to-layer="317" to-port="1" />
+		<edge from-layer="317" from-port="2" to-layer="319" to-port="0" />
+		<edge from-layer="318" from-port="0" to-layer="319" to-port="1" />
+		<edge from-layer="319" from-port="2" to-layer="321" to-port="0" />
+		<edge from-layer="320" from-port="0" to-layer="321" to-port="1" />
+		<edge from-layer="321" from-port="2" to-layer="322" to-port="2" />
+		<edge from-layer="322" from-port="3" to-layer="324" to-port="0" />
+		<edge from-layer="323" from-port="0" to-layer="324" to-port="1" />
+		<edge from-layer="324" from-port="2" to-layer="326" to-port="0" />
+		<edge from-layer="325" from-port="0" to-layer="326" to-port="1" />
+		<edge from-layer="326" from-port="2" to-layer="332" to-port="0" />
+		<edge from-layer="327" from-port="0" to-layer="328" to-port="0" />
+		<edge from-layer="328" from-port="1" to-layer="330" to-port="0" />
+		<edge from-layer="329" from-port="0" to-layer="330" to-port="1" />
+		<edge from-layer="330" from-port="2" to-layer="331" to-port="0" />
+		<edge from-layer="331" from-port="1" to-layer="332" to-port="1" />
+		<edge from-layer="332" from-port="2" to-layer="335" to-port="0" />
+		<edge from-layer="333" from-port="0" to-layer="334" to-port="0" />
+		<edge from-layer="334" from-port="1" to-layer="335" to-port="1" />
+		<edge from-layer="335" from-port="2" to-layer="336" to-port="1" />
+		<edge from-layer="336" from-port="2" to-layer="338" to-port="0" />
+		<edge from-layer="336" from-port="2" to-layer="362" to-port="0" />
+		<edge from-layer="337" from-port="0" to-layer="338" to-port="1" />
+		<edge from-layer="338" from-port="2" to-layer="340" to-port="0" />
+		<edge from-layer="339" from-port="0" to-layer="340" to-port="1" />
+		<edge from-layer="340" from-port="2" to-layer="342" to-port="0" />
+		<edge from-layer="341" from-port="0" to-layer="342" to-port="1" />
+		<edge from-layer="342" from-port="2" to-layer="348" to-port="0" />
+		<edge from-layer="343" from-port="0" to-layer="344" to-port="0" />
+		<edge from-layer="344" from-port="1" to-layer="346" to-port="0" />
+		<edge from-layer="345" from-port="0" to-layer="346" to-port="1" />
+		<edge from-layer="346" from-port="2" to-layer="347" to-port="0" />
+		<edge from-layer="347" from-port="1" to-layer="348" to-port="1" />
+		<edge from-layer="348" from-port="2" to-layer="351" to-port="0" />
+		<edge from-layer="349" from-port="0" to-layer="350" to-port="0" />
+		<edge from-layer="350" from-port="1" to-layer="351" to-port="1" />
+		<edge from-layer="351" from-port="2" to-layer="352" to-port="0" />
+		<edge from-layer="352" from-port="1" to-layer="358" to-port="0" />
+		<edge from-layer="353" from-port="0" to-layer="354" to-port="0" />
+		<edge from-layer="354" from-port="1" to-layer="356" to-port="0" />
+		<edge from-layer="355" from-port="0" to-layer="356" to-port="1" />
+		<edge from-layer="356" from-port="2" to-layer="357" to-port="0" />
+		<edge from-layer="357" from-port="1" to-layer="358" to-port="1" />
+		<edge from-layer="358" from-port="2" to-layer="361" to-port="0" />
+		<edge from-layer="359" from-port="0" to-layer="360" to-port="0" />
+		<edge from-layer="360" from-port="1" to-layer="361" to-port="1" />
+		<edge from-layer="361" from-port="2" to-layer="362" to-port="1" />
+		<edge from-layer="362" from-port="2" to-layer="364" to-port="0" />
+		<edge from-layer="362" from-port="2" to-layer="422" to-port="0" />
+		<edge from-layer="363" from-port="0" to-layer="364" to-port="1" />
+		<edge from-layer="364" from-port="2" to-layer="366" to-port="0" />
+		<edge from-layer="365" from-port="0" to-layer="366" to-port="1" />
+		<edge from-layer="366" from-port="2" to-layer="368" to-port="0" />
+		<edge from-layer="367" from-port="0" to-layer="368" to-port="1" />
+		<edge from-layer="368" from-port="2" to-layer="387" to-port="0" />
+		<edge from-layer="368" from-port="2" to-layer="400" to-port="0" />
+		<edge from-layer="368" from-port="2" to-layer="374" to-port="0" />
+		<edge from-layer="369" from-port="0" to-layer="370" to-port="0" />
+		<edge from-layer="370" from-port="1" to-layer="372" to-port="0" />
+		<edge from-layer="371" from-port="0" to-layer="372" to-port="1" />
+		<edge from-layer="372" from-port="2" to-layer="373" to-port="0" />
+		<edge from-layer="373" from-port="1" to-layer="374" to-port="1" />
+		<edge from-layer="374" from-port="2" to-layer="377" to-port="0" />
+		<edge from-layer="375" from-port="0" to-layer="376" to-port="0" />
+		<edge from-layer="376" from-port="1" to-layer="377" to-port="1" />
+		<edge from-layer="377" from-port="2" to-layer="379" to-port="0" />
+		<edge from-layer="378" from-port="0" to-layer="379" to-port="1" />
+		<edge from-layer="379" from-port="2" to-layer="381" to-port="0" />
+		<edge from-layer="380" from-port="0" to-layer="381" to-port="1" />
+		<edge from-layer="381" from-port="2" to-layer="408" to-port="0" />
+		<edge from-layer="382" from-port="0" to-layer="383" to-port="0" />
+		<edge from-layer="383" from-port="1" to-layer="385" to-port="0" />
+		<edge from-layer="384" from-port="0" to-layer="385" to-port="1" />
+		<edge from-layer="385" from-port="2" to-layer="386" to-port="0" />
+		<edge from-layer="386" from-port="1" to-layer="387" to-port="1" />
+		<edge from-layer="387" from-port="2" to-layer="390" to-port="0" />
+		<edge from-layer="388" from-port="0" to-layer="389" to-port="0" />
+		<edge from-layer="389" from-port="1" to-layer="390" to-port="1" />
+		<edge from-layer="390" from-port="2" to-layer="392" to-port="0" />
+		<edge from-layer="391" from-port="0" to-layer="392" to-port="1" />
+		<edge from-layer="392" from-port="2" to-layer="394" to-port="0" />
+		<edge from-layer="393" from-port="0" to-layer="394" to-port="1" />
+		<edge from-layer="394" from-port="2" to-layer="408" to-port="1" />
+		<edge from-layer="395" from-port="0" to-layer="396" to-port="0" />
+		<edge from-layer="396" from-port="1" to-layer="398" to-port="0" />
+		<edge from-layer="397" from-port="0" to-layer="398" to-port="1" />
+		<edge from-layer="398" from-port="2" to-layer="399" to-port="0" />
+		<edge from-layer="399" from-port="1" to-layer="400" to-port="1" />
+		<edge from-layer="400" from-port="2" to-layer="403" to-port="0" />
+		<edge from-layer="401" from-port="0" to-layer="402" to-port="0" />
+		<edge from-layer="402" from-port="1" to-layer="403" to-port="1" />
+		<edge from-layer="403" from-port="2" to-layer="405" to-port="0" />
+		<edge from-layer="404" from-port="0" to-layer="405" to-port="1" />
+		<edge from-layer="405" from-port="2" to-layer="407" to-port="0" />
+		<edge from-layer="406" from-port="0" to-layer="407" to-port="1" />
+		<edge from-layer="407" from-port="2" to-layer="408" to-port="2" />
+		<edge from-layer="408" from-port="3" to-layer="410" to-port="0" />
+		<edge from-layer="409" from-port="0" to-layer="410" to-port="1" />
+		<edge from-layer="410" from-port="2" to-layer="412" to-port="0" />
+		<edge from-layer="411" from-port="0" to-layer="412" to-port="1" />
+		<edge from-layer="412" from-port="2" to-layer="418" to-port="0" />
+		<edge from-layer="413" from-port="0" to-layer="414" to-port="0" />
+		<edge from-layer="414" from-port="1" to-layer="416" to-port="0" />
+		<edge from-layer="415" from-port="0" to-layer="416" to-port="1" />
+		<edge from-layer="416" from-port="2" to-layer="417" to-port="0" />
+		<edge from-layer="417" from-port="1" to-layer="418" to-port="1" />
+		<edge from-layer="418" from-port="2" to-layer="421" to-port="0" />
+		<edge from-layer="419" from-port="0" to-layer="420" to-port="0" />
+		<edge from-layer="420" from-port="1" to-layer="421" to-port="1" />
+		<edge from-layer="421" from-port="2" to-layer="422" to-port="1" />
+		<edge from-layer="422" from-port="2" to-layer="424" to-port="0" />
+		<edge from-layer="422" from-port="2" to-layer="448" to-port="0" />
+		<edge from-layer="423" from-port="0" to-layer="424" to-port="1" />
+		<edge from-layer="424" from-port="2" to-layer="426" to-port="0" />
+		<edge from-layer="425" from-port="0" to-layer="426" to-port="1" />
+		<edge from-layer="426" from-port="2" to-layer="428" to-port="0" />
+		<edge from-layer="427" from-port="0" to-layer="428" to-port="1" />
+		<edge from-layer="428" from-port="2" to-layer="434" to-port="0" />
+		<edge from-layer="429" from-port="0" to-layer="430" to-port="0" />
+		<edge from-layer="430" from-port="1" to-layer="432" to-port="0" />
+		<edge from-layer="431" from-port="0" to-layer="432" to-port="1" />
+		<edge from-layer="432" from-port="2" to-layer="433" to-port="0" />
+		<edge from-layer="433" from-port="1" to-layer="434" to-port="1" />
+		<edge from-layer="434" from-port="2" to-layer="437" to-port="0" />
+		<edge from-layer="435" from-port="0" to-layer="436" to-port="0" />
+		<edge from-layer="436" from-port="1" to-layer="437" to-port="1" />
+		<edge from-layer="437" from-port="2" to-layer="438" to-port="0" />
+		<edge from-layer="438" from-port="1" to-layer="444" to-port="0" />
+		<edge from-layer="439" from-port="0" to-layer="440" to-port="0" />
+		<edge from-layer="440" from-port="1" to-layer="442" to-port="0" />
+		<edge from-layer="441" from-port="0" to-layer="442" to-port="1" />
+		<edge from-layer="442" from-port="2" to-layer="443" to-port="0" />
+		<edge from-layer="443" from-port="1" to-layer="444" to-port="1" />
+		<edge from-layer="444" from-port="2" to-layer="447" to-port="0" />
+		<edge from-layer="445" from-port="0" to-layer="446" to-port="0" />
+		<edge from-layer="446" from-port="1" to-layer="447" to-port="1" />
+		<edge from-layer="447" from-port="2" to-layer="448" to-port="1" />
+		<edge from-layer="448" from-port="2" to-layer="450" to-port="0" />
+		<edge from-layer="448" from-port="2" to-layer="508" to-port="0" />
+		<edge from-layer="449" from-port="0" to-layer="450" to-port="1" />
+		<edge from-layer="450" from-port="2" to-layer="452" to-port="0" />
+		<edge from-layer="451" from-port="0" to-layer="452" to-port="1" />
+		<edge from-layer="452" from-port="2" to-layer="454" to-port="0" />
+		<edge from-layer="453" from-port="0" to-layer="454" to-port="1" />
+		<edge from-layer="454" from-port="2" to-layer="486" to-port="0" />
+		<edge from-layer="454" from-port="2" to-layer="473" to-port="0" />
+		<edge from-layer="454" from-port="2" to-layer="460" to-port="0" />
+		<edge from-layer="455" from-port="0" to-layer="456" to-port="0" />
+		<edge from-layer="456" from-port="1" to-layer="458" to-port="0" />
+		<edge from-layer="457" from-port="0" to-layer="458" to-port="1" />
+		<edge from-layer="458" from-port="2" to-layer="459" to-port="0" />
+		<edge from-layer="459" from-port="1" to-layer="460" to-port="1" />
+		<edge from-layer="460" from-port="2" to-layer="463" to-port="0" />
+		<edge from-layer="461" from-port="0" to-layer="462" to-port="0" />
+		<edge from-layer="462" from-port="1" to-layer="463" to-port="1" />
+		<edge from-layer="463" from-port="2" to-layer="465" to-port="0" />
+		<edge from-layer="464" from-port="0" to-layer="465" to-port="1" />
+		<edge from-layer="465" from-port="2" to-layer="467" to-port="0" />
+		<edge from-layer="466" from-port="0" to-layer="467" to-port="1" />
+		<edge from-layer="467" from-port="2" to-layer="494" to-port="0" />
+		<edge from-layer="468" from-port="0" to-layer="469" to-port="0" />
+		<edge from-layer="469" from-port="1" to-layer="471" to-port="0" />
+		<edge from-layer="470" from-port="0" to-layer="471" to-port="1" />
+		<edge from-layer="471" from-port="2" to-layer="472" to-port="0" />
+		<edge from-layer="472" from-port="1" to-layer="473" to-port="1" />
+		<edge from-layer="473" from-port="2" to-layer="476" to-port="0" />
+		<edge from-layer="474" from-port="0" to-layer="475" to-port="0" />
+		<edge from-layer="475" from-port="1" to-layer="476" to-port="1" />
+		<edge from-layer="476" from-port="2" to-layer="478" to-port="0" />
+		<edge from-layer="477" from-port="0" to-layer="478" to-port="1" />
+		<edge from-layer="478" from-port="2" to-layer="480" to-port="0" />
+		<edge from-layer="479" from-port="0" to-layer="480" to-port="1" />
+		<edge from-layer="480" from-port="2" to-layer="494" to-port="1" />
+		<edge from-layer="481" from-port="0" to-layer="482" to-port="0" />
+		<edge from-layer="482" from-port="1" to-layer="484" to-port="0" />
+		<edge from-layer="483" from-port="0" to-layer="484" to-port="1" />
+		<edge from-layer="484" from-port="2" to-layer="485" to-port="0" />
+		<edge from-layer="485" from-port="1" to-layer="486" to-port="1" />
+		<edge from-layer="486" from-port="2" to-layer="489" to-port="0" />
+		<edge from-layer="487" from-port="0" to-layer="488" to-port="0" />
+		<edge from-layer="488" from-port="1" to-layer="489" to-port="1" />
+		<edge from-layer="489" from-port="2" to-layer="491" to-port="0" />
+		<edge from-layer="490" from-port="0" to-layer="491" to-port="1" />
+		<edge from-layer="491" from-port="2" to-layer="493" to-port="0" />
+		<edge from-layer="492" from-port="0" to-layer="493" to-port="1" />
+		<edge from-layer="493" from-port="2" to-layer="494" to-port="2" />
+		<edge from-layer="494" from-port="3" to-layer="496" to-port="0" />
+		<edge from-layer="495" from-port="0" to-layer="496" to-port="1" />
+		<edge from-layer="496" from-port="2" to-layer="498" to-port="0" />
+		<edge from-layer="497" from-port="0" to-layer="498" to-port="1" />
+		<edge from-layer="498" from-port="2" to-layer="504" to-port="0" />
+		<edge from-layer="499" from-port="0" to-layer="500" to-port="0" />
+		<edge from-layer="500" from-port="1" to-layer="502" to-port="0" />
+		<edge from-layer="501" from-port="0" to-layer="502" to-port="1" />
+		<edge from-layer="502" from-port="2" to-layer="503" to-port="0" />
+		<edge from-layer="503" from-port="1" to-layer="504" to-port="1" />
+		<edge from-layer="504" from-port="2" to-layer="507" to-port="0" />
+		<edge from-layer="505" from-port="0" to-layer="506" to-port="0" />
+		<edge from-layer="506" from-port="1" to-layer="507" to-port="1" />
+		<edge from-layer="507" from-port="2" to-layer="508" to-port="1" />
+		<edge from-layer="508" from-port="2" to-layer="510" to-port="0" />
+		<edge from-layer="508" from-port="2" to-layer="534" to-port="0" />
+		<edge from-layer="509" from-port="0" to-layer="510" to-port="1" />
+		<edge from-layer="510" from-port="2" to-layer="512" to-port="0" />
+		<edge from-layer="511" from-port="0" to-layer="512" to-port="1" />
+		<edge from-layer="512" from-port="2" to-layer="514" to-port="0" />
+		<edge from-layer="513" from-port="0" to-layer="514" to-port="1" />
+		<edge from-layer="514" from-port="2" to-layer="520" to-port="0" />
+		<edge from-layer="515" from-port="0" to-layer="516" to-port="0" />
+		<edge from-layer="516" from-port="1" to-layer="518" to-port="0" />
+		<edge from-layer="517" from-port="0" to-layer="518" to-port="1" />
+		<edge from-layer="518" from-port="2" to-layer="519" to-port="0" />
+		<edge from-layer="519" from-port="1" to-layer="520" to-port="1" />
+		<edge from-layer="520" from-port="2" to-layer="523" to-port="0" />
+		<edge from-layer="521" from-port="0" to-layer="522" to-port="0" />
+		<edge from-layer="522" from-port="1" to-layer="523" to-port="1" />
+		<edge from-layer="523" from-port="2" to-layer="524" to-port="0" />
+		<edge from-layer="524" from-port="1" to-layer="530" to-port="0" />
+		<edge from-layer="525" from-port="0" to-layer="526" to-port="0" />
+		<edge from-layer="526" from-port="1" to-layer="528" to-port="0" />
+		<edge from-layer="527" from-port="0" to-layer="528" to-port="1" />
+		<edge from-layer="528" from-port="2" to-layer="529" to-port="0" />
+		<edge from-layer="529" from-port="1" to-layer="530" to-port="1" />
+		<edge from-layer="530" from-port="2" to-layer="533" to-port="0" />
+		<edge from-layer="531" from-port="0" to-layer="532" to-port="0" />
+		<edge from-layer="532" from-port="1" to-layer="533" to-port="1" />
+		<edge from-layer="533" from-port="2" to-layer="534" to-port="1" />
+		<edge from-layer="534" from-port="2" to-layer="536" to-port="0" />
+		<edge from-layer="534" from-port="2" to-layer="594" to-port="0" />
+		<edge from-layer="535" from-port="0" to-layer="536" to-port="1" />
+		<edge from-layer="536" from-port="2" to-layer="538" to-port="0" />
+		<edge from-layer="537" from-port="0" to-layer="538" to-port="1" />
+		<edge from-layer="538" from-port="2" to-layer="540" to-port="0" />
+		<edge from-layer="539" from-port="0" to-layer="540" to-port="1" />
+		<edge from-layer="540" from-port="2" to-layer="572" to-port="0" />
+		<edge from-layer="540" from-port="2" to-layer="559" to-port="0" />
+		<edge from-layer="540" from-port="2" to-layer="546" to-port="0" />
+		<edge from-layer="541" from-port="0" to-layer="542" to-port="0" />
+		<edge from-layer="542" from-port="1" to-layer="544" to-port="0" />
+		<edge from-layer="543" from-port="0" to-layer="544" to-port="1" />
+		<edge from-layer="544" from-port="2" to-layer="545" to-port="0" />
+		<edge from-layer="545" from-port="1" to-layer="546" to-port="1" />
+		<edge from-layer="546" from-port="2" to-layer="549" to-port="0" />
+		<edge from-layer="547" from-port="0" to-layer="548" to-port="0" />
+		<edge from-layer="548" from-port="1" to-layer="549" to-port="1" />
+		<edge from-layer="549" from-port="2" to-layer="551" to-port="0" />
+		<edge from-layer="550" from-port="0" to-layer="551" to-port="1" />
+		<edge from-layer="551" from-port="2" to-layer="553" to-port="0" />
+		<edge from-layer="552" from-port="0" to-layer="553" to-port="1" />
+		<edge from-layer="553" from-port="2" to-layer="580" to-port="0" />
+		<edge from-layer="554" from-port="0" to-layer="555" to-port="0" />
+		<edge from-layer="555" from-port="1" to-layer="557" to-port="0" />
+		<edge from-layer="556" from-port="0" to-layer="557" to-port="1" />
+		<edge from-layer="557" from-port="2" to-layer="558" to-port="0" />
+		<edge from-layer="558" from-port="1" to-layer="559" to-port="1" />
+		<edge from-layer="559" from-port="2" to-layer="562" to-port="0" />
+		<edge from-layer="560" from-port="0" to-layer="561" to-port="0" />
+		<edge from-layer="561" from-port="1" to-layer="562" to-port="1" />
+		<edge from-layer="562" from-port="2" to-layer="564" to-port="0" />
+		<edge from-layer="563" from-port="0" to-layer="564" to-port="1" />
+		<edge from-layer="564" from-port="2" to-layer="566" to-port="0" />
+		<edge from-layer="565" from-port="0" to-layer="566" to-port="1" />
+		<edge from-layer="566" from-port="2" to-layer="580" to-port="1" />
+		<edge from-layer="567" from-port="0" to-layer="568" to-port="0" />
+		<edge from-layer="568" from-port="1" to-layer="570" to-port="0" />
+		<edge from-layer="569" from-port="0" to-layer="570" to-port="1" />
+		<edge from-layer="570" from-port="2" to-layer="571" to-port="0" />
+		<edge from-layer="571" from-port="1" to-layer="572" to-port="1" />
+		<edge from-layer="572" from-port="2" to-layer="575" to-port="0" />
+		<edge from-layer="573" from-port="0" to-layer="574" to-port="0" />
+		<edge from-layer="574" from-port="1" to-layer="575" to-port="1" />
+		<edge from-layer="575" from-port="2" to-layer="577" to-port="0" />
+		<edge from-layer="576" from-port="0" to-layer="577" to-port="1" />
+		<edge from-layer="577" from-port="2" to-layer="579" to-port="0" />
+		<edge from-layer="578" from-port="0" to-layer="579" to-port="1" />
+		<edge from-layer="579" from-port="2" to-layer="580" to-port="2" />
+		<edge from-layer="580" from-port="3" to-layer="582" to-port="0" />
+		<edge from-layer="581" from-port="0" to-layer="582" to-port="1" />
+		<edge from-layer="582" from-port="2" to-layer="584" to-port="0" />
+		<edge from-layer="583" from-port="0" to-layer="584" to-port="1" />
+		<edge from-layer="584" from-port="2" to-layer="590" to-port="0" />
+		<edge from-layer="585" from-port="0" to-layer="586" to-port="0" />
+		<edge from-layer="586" from-port="1" to-layer="588" to-port="0" />
+		<edge from-layer="587" from-port="0" to-layer="588" to-port="1" />
+		<edge from-layer="588" from-port="2" to-layer="589" to-port="0" />
+		<edge from-layer="589" from-port="1" to-layer="590" to-port="1" />
+		<edge from-layer="590" from-port="2" to-layer="593" to-port="0" />
+		<edge from-layer="591" from-port="0" to-layer="592" to-port="0" />
+		<edge from-layer="592" from-port="1" to-layer="593" to-port="1" />
+		<edge from-layer="593" from-port="2" to-layer="594" to-port="1" />
+		<edge from-layer="594" from-port="2" to-layer="596" to-port="0" />
+		<edge from-layer="594" from-port="2" to-layer="620" to-port="0" />
+		<edge from-layer="595" from-port="0" to-layer="596" to-port="1" />
+		<edge from-layer="596" from-port="2" to-layer="598" to-port="0" />
+		<edge from-layer="597" from-port="0" to-layer="598" to-port="1" />
+		<edge from-layer="598" from-port="2" to-layer="600" to-port="0" />
+		<edge from-layer="599" from-port="0" to-layer="600" to-port="1" />
+		<edge from-layer="600" from-port="2" to-layer="606" to-port="0" />
+		<edge from-layer="601" from-port="0" to-layer="602" to-port="0" />
+		<edge from-layer="602" from-port="1" to-layer="604" to-port="0" />
+		<edge from-layer="603" from-port="0" to-layer="604" to-port="1" />
+		<edge from-layer="604" from-port="2" to-layer="605" to-port="0" />
+		<edge from-layer="605" from-port="1" to-layer="606" to-port="1" />
+		<edge from-layer="606" from-port="2" to-layer="609" to-port="0" />
+		<edge from-layer="607" from-port="0" to-layer="608" to-port="0" />
+		<edge from-layer="608" from-port="1" to-layer="609" to-port="1" />
+		<edge from-layer="609" from-port="2" to-layer="610" to-port="0" />
+		<edge from-layer="610" from-port="1" to-layer="616" to-port="0" />
+		<edge from-layer="611" from-port="0" to-layer="612" to-port="0" />
+		<edge from-layer="612" from-port="1" to-layer="614" to-port="0" />
+		<edge from-layer="613" from-port="0" to-layer="614" to-port="1" />
+		<edge from-layer="614" from-port="2" to-layer="615" to-port="0" />
+		<edge from-layer="615" from-port="1" to-layer="616" to-port="1" />
+		<edge from-layer="616" from-port="2" to-layer="619" to-port="0" />
+		<edge from-layer="617" from-port="0" to-layer="618" to-port="0" />
+		<edge from-layer="618" from-port="1" to-layer="619" to-port="1" />
+		<edge from-layer="619" from-port="2" to-layer="620" to-port="1" />
+		<edge from-layer="620" from-port="2" to-layer="680" to-port="0" />
+		<edge from-layer="620" from-port="2" to-layer="622" to-port="0" />
+		<edge from-layer="621" from-port="0" to-layer="622" to-port="1" />
+		<edge from-layer="622" from-port="2" to-layer="624" to-port="0" />
+		<edge from-layer="623" from-port="0" to-layer="624" to-port="1" />
+		<edge from-layer="624" from-port="2" to-layer="626" to-port="0" />
+		<edge from-layer="625" from-port="0" to-layer="626" to-port="1" />
+		<edge from-layer="626" from-port="2" to-layer="658" to-port="0" />
+		<edge from-layer="626" from-port="2" to-layer="645" to-port="0" />
+		<edge from-layer="626" from-port="2" to-layer="632" to-port="0" />
+		<edge from-layer="627" from-port="0" to-layer="628" to-port="0" />
+		<edge from-layer="628" from-port="1" to-layer="630" to-port="0" />
+		<edge from-layer="629" from-port="0" to-layer="630" to-port="1" />
+		<edge from-layer="630" from-port="2" to-layer="631" to-port="0" />
+		<edge from-layer="631" from-port="1" to-layer="632" to-port="1" />
+		<edge from-layer="632" from-port="2" to-layer="635" to-port="0" />
+		<edge from-layer="633" from-port="0" to-layer="634" to-port="0" />
+		<edge from-layer="634" from-port="1" to-layer="635" to-port="1" />
+		<edge from-layer="635" from-port="2" to-layer="637" to-port="0" />
+		<edge from-layer="636" from-port="0" to-layer="637" to-port="1" />
+		<edge from-layer="637" from-port="2" to-layer="639" to-port="0" />
+		<edge from-layer="638" from-port="0" to-layer="639" to-port="1" />
+		<edge from-layer="639" from-port="2" to-layer="666" to-port="0" />
+		<edge from-layer="640" from-port="0" to-layer="641" to-port="0" />
+		<edge from-layer="641" from-port="1" to-layer="643" to-port="0" />
+		<edge from-layer="642" from-port="0" to-layer="643" to-port="1" />
+		<edge from-layer="643" from-port="2" to-layer="644" to-port="0" />
+		<edge from-layer="644" from-port="1" to-layer="645" to-port="1" />
+		<edge from-layer="645" from-port="2" to-layer="648" to-port="0" />
+		<edge from-layer="646" from-port="0" to-layer="647" to-port="0" />
+		<edge from-layer="647" from-port="1" to-layer="648" to-port="1" />
+		<edge from-layer="648" from-port="2" to-layer="650" to-port="0" />
+		<edge from-layer="649" from-port="0" to-layer="650" to-port="1" />
+		<edge from-layer="650" from-port="2" to-layer="652" to-port="0" />
+		<edge from-layer="651" from-port="0" to-layer="652" to-port="1" />
+		<edge from-layer="652" from-port="2" to-layer="666" to-port="1" />
+		<edge from-layer="653" from-port="0" to-layer="654" to-port="0" />
+		<edge from-layer="654" from-port="1" to-layer="656" to-port="0" />
+		<edge from-layer="655" from-port="0" to-layer="656" to-port="1" />
+		<edge from-layer="656" from-port="2" to-layer="657" to-port="0" />
+		<edge from-layer="657" from-port="1" to-layer="658" to-port="1" />
+		<edge from-layer="658" from-port="2" to-layer="661" to-port="0" />
+		<edge from-layer="659" from-port="0" to-layer="660" to-port="0" />
+		<edge from-layer="660" from-port="1" to-layer="661" to-port="1" />
+		<edge from-layer="661" from-port="2" to-layer="663" to-port="0" />
+		<edge from-layer="662" from-port="0" to-layer="663" to-port="1" />
+		<edge from-layer="663" from-port="2" to-layer="665" to-port="0" />
+		<edge from-layer="664" from-port="0" to-layer="665" to-port="1" />
+		<edge from-layer="665" from-port="2" to-layer="666" to-port="2" />
+		<edge from-layer="666" from-port="3" to-layer="668" to-port="0" />
+		<edge from-layer="667" from-port="0" to-layer="668" to-port="1" />
+		<edge from-layer="668" from-port="2" to-layer="670" to-port="0" />
+		<edge from-layer="669" from-port="0" to-layer="670" to-port="1" />
+		<edge from-layer="670" from-port="2" to-layer="676" to-port="0" />
+		<edge from-layer="671" from-port="0" to-layer="672" to-port="0" />
+		<edge from-layer="672" from-port="1" to-layer="674" to-port="0" />
+		<edge from-layer="673" from-port="0" to-layer="674" to-port="1" />
+		<edge from-layer="674" from-port="2" to-layer="675" to-port="0" />
+		<edge from-layer="675" from-port="1" to-layer="676" to-port="1" />
+		<edge from-layer="676" from-port="2" to-layer="679" to-port="0" />
+		<edge from-layer="677" from-port="0" to-layer="678" to-port="0" />
+		<edge from-layer="678" from-port="1" to-layer="679" to-port="1" />
+		<edge from-layer="679" from-port="2" to-layer="680" to-port="1" />
+		<edge from-layer="680" from-port="2" to-layer="706" to-port="0" />
+		<edge from-layer="680" from-port="2" to-layer="682" to-port="0" />
+		<edge from-layer="681" from-port="0" to-layer="682" to-port="1" />
+		<edge from-layer="682" from-port="2" to-layer="684" to-port="0" />
+		<edge from-layer="683" from-port="0" to-layer="684" to-port="1" />
+		<edge from-layer="684" from-port="2" to-layer="686" to-port="0" />
+		<edge from-layer="685" from-port="0" to-layer="686" to-port="1" />
+		<edge from-layer="686" from-port="2" to-layer="692" to-port="0" />
+		<edge from-layer="687" from-port="0" to-layer="688" to-port="0" />
+		<edge from-layer="688" from-port="1" to-layer="690" to-port="0" />
+		<edge from-layer="689" from-port="0" to-layer="690" to-port="1" />
+		<edge from-layer="690" from-port="2" to-layer="691" to-port="0" />
+		<edge from-layer="691" from-port="1" to-layer="692" to-port="1" />
+		<edge from-layer="692" from-port="2" to-layer="695" to-port="0" />
+		<edge from-layer="693" from-port="0" to-layer="694" to-port="0" />
+		<edge from-layer="694" from-port="1" to-layer="695" to-port="1" />
+		<edge from-layer="695" from-port="2" to-layer="696" to-port="0" />
+		<edge from-layer="696" from-port="1" to-layer="702" to-port="0" />
+		<edge from-layer="697" from-port="0" to-layer="698" to-port="0" />
+		<edge from-layer="698" from-port="1" to-layer="700" to-port="0" />
+		<edge from-layer="699" from-port="0" to-layer="700" to-port="1" />
+		<edge from-layer="700" from-port="2" to-layer="701" to-port="0" />
+		<edge from-layer="701" from-port="1" to-layer="702" to-port="1" />
+		<edge from-layer="702" from-port="2" to-layer="705" to-port="0" />
+		<edge from-layer="703" from-port="0" to-layer="704" to-port="0" />
+		<edge from-layer="704" from-port="1" to-layer="705" to-port="1" />
+		<edge from-layer="705" from-port="2" to-layer="706" to-port="1" />
+		<edge from-layer="706" from-port="2" to-layer="708" to-port="0" />
+		<edge from-layer="706" from-port="2" to-layer="766" to-port="0" />
+		<edge from-layer="707" from-port="0" to-layer="708" to-port="1" />
+		<edge from-layer="708" from-port="2" to-layer="710" to-port="0" />
+		<edge from-layer="709" from-port="0" to-layer="710" to-port="1" />
+		<edge from-layer="710" from-port="2" to-layer="712" to-port="0" />
+		<edge from-layer="711" from-port="0" to-layer="712" to-port="1" />
+		<edge from-layer="712" from-port="2" to-layer="744" to-port="0" />
+		<edge from-layer="712" from-port="2" to-layer="718" to-port="0" />
+		<edge from-layer="712" from-port="2" to-layer="731" to-port="0" />
+		<edge from-layer="713" from-port="0" to-layer="714" to-port="0" />
+		<edge from-layer="714" from-port="1" to-layer="716" to-port="0" />
+		<edge from-layer="715" from-port="0" to-layer="716" to-port="1" />
+		<edge from-layer="716" from-port="2" to-layer="717" to-port="0" />
+		<edge from-layer="717" from-port="1" to-layer="718" to-port="1" />
+		<edge from-layer="718" from-port="2" to-layer="721" to-port="0" />
+		<edge from-layer="719" from-port="0" to-layer="720" to-port="0" />
+		<edge from-layer="720" from-port="1" to-layer="721" to-port="1" />
+		<edge from-layer="721" from-port="2" to-layer="723" to-port="0" />
+		<edge from-layer="722" from-port="0" to-layer="723" to-port="1" />
+		<edge from-layer="723" from-port="2" to-layer="725" to-port="0" />
+		<edge from-layer="724" from-port="0" to-layer="725" to-port="1" />
+		<edge from-layer="725" from-port="2" to-layer="752" to-port="0" />
+		<edge from-layer="726" from-port="0" to-layer="727" to-port="0" />
+		<edge from-layer="727" from-port="1" to-layer="729" to-port="0" />
+		<edge from-layer="728" from-port="0" to-layer="729" to-port="1" />
+		<edge from-layer="729" from-port="2" to-layer="730" to-port="0" />
+		<edge from-layer="730" from-port="1" to-layer="731" to-port="1" />
+		<edge from-layer="731" from-port="2" to-layer="734" to-port="0" />
+		<edge from-layer="732" from-port="0" to-layer="733" to-port="0" />
+		<edge from-layer="733" from-port="1" to-layer="734" to-port="1" />
+		<edge from-layer="734" from-port="2" to-layer="736" to-port="0" />
+		<edge from-layer="735" from-port="0" to-layer="736" to-port="1" />
+		<edge from-layer="736" from-port="2" to-layer="738" to-port="0" />
+		<edge from-layer="737" from-port="0" to-layer="738" to-port="1" />
+		<edge from-layer="738" from-port="2" to-layer="752" to-port="1" />
+		<edge from-layer="739" from-port="0" to-layer="740" to-port="0" />
+		<edge from-layer="740" from-port="1" to-layer="742" to-port="0" />
+		<edge from-layer="741" from-port="0" to-layer="742" to-port="1" />
+		<edge from-layer="742" from-port="2" to-layer="743" to-port="0" />
+		<edge from-layer="743" from-port="1" to-layer="744" to-port="1" />
+		<edge from-layer="744" from-port="2" to-layer="747" to-port="0" />
+		<edge from-layer="745" from-port="0" to-layer="746" to-port="0" />
+		<edge from-layer="746" from-port="1" to-layer="747" to-port="1" />
+		<edge from-layer="747" from-port="2" to-layer="749" to-port="0" />
+		<edge from-layer="748" from-port="0" to-layer="749" to-port="1" />
+		<edge from-layer="749" from-port="2" to-layer="751" to-port="0" />
+		<edge from-layer="750" from-port="0" to-layer="751" to-port="1" />
+		<edge from-layer="751" from-port="2" to-layer="752" to-port="2" />
+		<edge from-layer="752" from-port="3" to-layer="754" to-port="0" />
+		<edge from-layer="753" from-port="0" to-layer="754" to-port="1" />
+		<edge from-layer="754" from-port="2" to-layer="756" to-port="0" />
+		<edge from-layer="755" from-port="0" to-layer="756" to-port="1" />
+		<edge from-layer="756" from-port="2" to-layer="762" to-port="0" />
+		<edge from-layer="757" from-port="0" to-layer="758" to-port="0" />
+		<edge from-layer="758" from-port="1" to-layer="760" to-port="0" />
+		<edge from-layer="759" from-port="0" to-layer="760" to-port="1" />
+		<edge from-layer="760" from-port="2" to-layer="761" to-port="0" />
+		<edge from-layer="761" from-port="1" to-layer="762" to-port="1" />
+		<edge from-layer="762" from-port="2" to-layer="765" to-port="0" />
+		<edge from-layer="763" from-port="0" to-layer="764" to-port="0" />
+		<edge from-layer="764" from-port="1" to-layer="765" to-port="1" />
+		<edge from-layer="765" from-port="2" to-layer="766" to-port="1" />
+		<edge from-layer="766" from-port="2" to-layer="792" to-port="0" />
+		<edge from-layer="766" from-port="2" to-layer="768" to-port="0" />
+		<edge from-layer="767" from-port="0" to-layer="768" to-port="1" />
+		<edge from-layer="768" from-port="2" to-layer="770" to-port="0" />
+		<edge from-layer="769" from-port="0" to-layer="770" to-port="1" />
+		<edge from-layer="770" from-port="2" to-layer="772" to-port="0" />
+		<edge from-layer="771" from-port="0" to-layer="772" to-port="1" />
+		<edge from-layer="772" from-port="2" to-layer="778" to-port="0" />
+		<edge from-layer="773" from-port="0" to-layer="774" to-port="0" />
+		<edge from-layer="774" from-port="1" to-layer="776" to-port="0" />
+		<edge from-layer="775" from-port="0" to-layer="776" to-port="1" />
+		<edge from-layer="776" from-port="2" to-layer="777" to-port="0" />
+		<edge from-layer="777" from-port="1" to-layer="778" to-port="1" />
+		<edge from-layer="778" from-port="2" to-layer="781" to-port="0" />
+		<edge from-layer="779" from-port="0" to-layer="780" to-port="0" />
+		<edge from-layer="780" from-port="1" to-layer="781" to-port="1" />
+		<edge from-layer="781" from-port="2" to-layer="782" to-port="0" />
+		<edge from-layer="782" from-port="1" to-layer="788" to-port="0" />
+		<edge from-layer="783" from-port="0" to-layer="784" to-port="0" />
+		<edge from-layer="784" from-port="1" to-layer="786" to-port="0" />
+		<edge from-layer="785" from-port="0" to-layer="786" to-port="1" />
+		<edge from-layer="786" from-port="2" to-layer="787" to-port="0" />
+		<edge from-layer="787" from-port="1" to-layer="788" to-port="1" />
+		<edge from-layer="788" from-port="2" to-layer="791" to-port="0" />
+		<edge from-layer="789" from-port="0" to-layer="790" to-port="0" />
+		<edge from-layer="790" from-port="1" to-layer="791" to-port="1" />
+		<edge from-layer="791" from-port="2" to-layer="792" to-port="1" />
+		<edge from-layer="792" from-port="2" to-layer="794" to-port="0" />
+		<edge from-layer="792" from-port="2" to-layer="852" to-port="0" />
+		<edge from-layer="793" from-port="0" to-layer="794" to-port="1" />
+		<edge from-layer="794" from-port="2" to-layer="796" to-port="0" />
+		<edge from-layer="795" from-port="0" to-layer="796" to-port="1" />
+		<edge from-layer="796" from-port="2" to-layer="798" to-port="0" />
+		<edge from-layer="797" from-port="0" to-layer="798" to-port="1" />
+		<edge from-layer="798" from-port="2" to-layer="817" to-port="0" />
+		<edge from-layer="798" from-port="2" to-layer="830" to-port="0" />
+		<edge from-layer="798" from-port="2" to-layer="804" to-port="0" />
+		<edge from-layer="799" from-port="0" to-layer="800" to-port="0" />
+		<edge from-layer="800" from-port="1" to-layer="802" to-port="0" />
+		<edge from-layer="801" from-port="0" to-layer="802" to-port="1" />
+		<edge from-layer="802" from-port="2" to-layer="803" to-port="0" />
+		<edge from-layer="803" from-port="1" to-layer="804" to-port="1" />
+		<edge from-layer="804" from-port="2" to-layer="807" to-port="0" />
+		<edge from-layer="805" from-port="0" to-layer="806" to-port="0" />
+		<edge from-layer="806" from-port="1" to-layer="807" to-port="1" />
+		<edge from-layer="807" from-port="2" to-layer="809" to-port="0" />
+		<edge from-layer="808" from-port="0" to-layer="809" to-port="1" />
+		<edge from-layer="809" from-port="2" to-layer="811" to-port="0" />
+		<edge from-layer="810" from-port="0" to-layer="811" to-port="1" />
+		<edge from-layer="811" from-port="2" to-layer="838" to-port="0" />
+		<edge from-layer="812" from-port="0" to-layer="813" to-port="0" />
+		<edge from-layer="813" from-port="1" to-layer="815" to-port="0" />
+		<edge from-layer="814" from-port="0" to-layer="815" to-port="1" />
+		<edge from-layer="815" from-port="2" to-layer="816" to-port="0" />
+		<edge from-layer="816" from-port="1" to-layer="817" to-port="1" />
+		<edge from-layer="817" from-port="2" to-layer="820" to-port="0" />
+		<edge from-layer="818" from-port="0" to-layer="819" to-port="0" />
+		<edge from-layer="819" from-port="1" to-layer="820" to-port="1" />
+		<edge from-layer="820" from-port="2" to-layer="822" to-port="0" />
+		<edge from-layer="821" from-port="0" to-layer="822" to-port="1" />
+		<edge from-layer="822" from-port="2" to-layer="824" to-port="0" />
+		<edge from-layer="823" from-port="0" to-layer="824" to-port="1" />
+		<edge from-layer="824" from-port="2" to-layer="838" to-port="1" />
+		<edge from-layer="825" from-port="0" to-layer="826" to-port="0" />
+		<edge from-layer="826" from-port="1" to-layer="828" to-port="0" />
+		<edge from-layer="827" from-port="0" to-layer="828" to-port="1" />
+		<edge from-layer="828" from-port="2" to-layer="829" to-port="0" />
+		<edge from-layer="829" from-port="1" to-layer="830" to-port="1" />
+		<edge from-layer="830" from-port="2" to-layer="833" to-port="0" />
+		<edge from-layer="831" from-port="0" to-layer="832" to-port="0" />
+		<edge from-layer="832" from-port="1" to-layer="833" to-port="1" />
+		<edge from-layer="833" from-port="2" to-layer="835" to-port="0" />
+		<edge from-layer="834" from-port="0" to-layer="835" to-port="1" />
+		<edge from-layer="835" from-port="2" to-layer="837" to-port="0" />
+		<edge from-layer="836" from-port="0" to-layer="837" to-port="1" />
+		<edge from-layer="837" from-port="2" to-layer="838" to-port="2" />
+		<edge from-layer="838" from-port="3" to-layer="840" to-port="0" />
+		<edge from-layer="839" from-port="0" to-layer="840" to-port="1" />
+		<edge from-layer="840" from-port="2" to-layer="842" to-port="0" />
+		<edge from-layer="841" from-port="0" to-layer="842" to-port="1" />
+		<edge from-layer="842" from-port="2" to-layer="848" to-port="0" />
+		<edge from-layer="843" from-port="0" to-layer="844" to-port="0" />
+		<edge from-layer="844" from-port="1" to-layer="846" to-port="0" />
+		<edge from-layer="845" from-port="0" to-layer="846" to-port="1" />
+		<edge from-layer="846" from-port="2" to-layer="847" to-port="0" />
+		<edge from-layer="847" from-port="1" to-layer="848" to-port="1" />
+		<edge from-layer="848" from-port="2" to-layer="851" to-port="0" />
+		<edge from-layer="849" from-port="0" to-layer="850" to-port="0" />
+		<edge from-layer="850" from-port="1" to-layer="851" to-port="1" />
+		<edge from-layer="851" from-port="2" to-layer="852" to-port="1" />
+		<edge from-layer="852" from-port="2" to-layer="878" to-port="0" />
+		<edge from-layer="852" from-port="2" to-layer="854" to-port="0" />
+		<edge from-layer="853" from-port="0" to-layer="854" to-port="1" />
+		<edge from-layer="854" from-port="2" to-layer="856" to-port="0" />
+		<edge from-layer="855" from-port="0" to-layer="856" to-port="1" />
+		<edge from-layer="856" from-port="2" to-layer="858" to-port="0" />
+		<edge from-layer="857" from-port="0" to-layer="858" to-port="1" />
+		<edge from-layer="858" from-port="2" to-layer="864" to-port="0" />
+		<edge from-layer="859" from-port="0" to-layer="860" to-port="0" />
+		<edge from-layer="860" from-port="1" to-layer="862" to-port="0" />
+		<edge from-layer="861" from-port="0" to-layer="862" to-port="1" />
+		<edge from-layer="862" from-port="2" to-layer="863" to-port="0" />
+		<edge from-layer="863" from-port="1" to-layer="864" to-port="1" />
+		<edge from-layer="864" from-port="2" to-layer="867" to-port="0" />
+		<edge from-layer="865" from-port="0" to-layer="866" to-port="0" />
+		<edge from-layer="866" from-port="1" to-layer="867" to-port="1" />
+		<edge from-layer="867" from-port="2" to-layer="868" to-port="0" />
+		<edge from-layer="868" from-port="1" to-layer="874" to-port="0" />
+		<edge from-layer="869" from-port="0" to-layer="870" to-port="0" />
+		<edge from-layer="870" from-port="1" to-layer="872" to-port="0" />
+		<edge from-layer="871" from-port="0" to-layer="872" to-port="1" />
+		<edge from-layer="872" from-port="2" to-layer="873" to-port="0" />
+		<edge from-layer="873" from-port="1" to-layer="874" to-port="1" />
+		<edge from-layer="874" from-port="2" to-layer="877" to-port="0" />
+		<edge from-layer="875" from-port="0" to-layer="876" to-port="0" />
+		<edge from-layer="876" from-port="1" to-layer="877" to-port="1" />
+		<edge from-layer="877" from-port="2" to-layer="878" to-port="1" />
+		<edge from-layer="878" from-port="2" to-layer="880" to-port="0" />
+		<edge from-layer="878" from-port="2" to-layer="938" to-port="0" />
+		<edge from-layer="879" from-port="0" to-layer="880" to-port="1" />
+		<edge from-layer="880" from-port="2" to-layer="882" to-port="0" />
+		<edge from-layer="881" from-port="0" to-layer="882" to-port="1" />
+		<edge from-layer="882" from-port="2" to-layer="884" to-port="0" />
+		<edge from-layer="883" from-port="0" to-layer="884" to-port="1" />
+		<edge from-layer="884" from-port="2" to-layer="890" to-port="0" />
+		<edge from-layer="884" from-port="2" to-layer="916" to-port="0" />
+		<edge from-layer="884" from-port="2" to-layer="903" to-port="0" />
+		<edge from-layer="885" from-port="0" to-layer="886" to-port="0" />
+		<edge from-layer="886" from-port="1" to-layer="888" to-port="0" />
+		<edge from-layer="887" from-port="0" to-layer="888" to-port="1" />
+		<edge from-layer="888" from-port="2" to-layer="889" to-port="0" />
+		<edge from-layer="889" from-port="1" to-layer="890" to-port="1" />
+		<edge from-layer="890" from-port="2" to-layer="893" to-port="0" />
+		<edge from-layer="891" from-port="0" to-layer="892" to-port="0" />
+		<edge from-layer="892" from-port="1" to-layer="893" to-port="1" />
+		<edge from-layer="893" from-port="2" to-layer="895" to-port="0" />
+		<edge from-layer="894" from-port="0" to-layer="895" to-port="1" />
+		<edge from-layer="895" from-port="2" to-layer="897" to-port="0" />
+		<edge from-layer="896" from-port="0" to-layer="897" to-port="1" />
+		<edge from-layer="897" from-port="2" to-layer="924" to-port="0" />
+		<edge from-layer="898" from-port="0" to-layer="899" to-port="0" />
+		<edge from-layer="899" from-port="1" to-layer="901" to-port="0" />
+		<edge from-layer="900" from-port="0" to-layer="901" to-port="1" />
+		<edge from-layer="901" from-port="2" to-layer="902" to-port="0" />
+		<edge from-layer="902" from-port="1" to-layer="903" to-port="1" />
+		<edge from-layer="903" from-port="2" to-layer="906" to-port="0" />
+		<edge from-layer="904" from-port="0" to-layer="905" to-port="0" />
+		<edge from-layer="905" from-port="1" to-layer="906" to-port="1" />
+		<edge from-layer="906" from-port="2" to-layer="908" to-port="0" />
+		<edge from-layer="907" from-port="0" to-layer="908" to-port="1" />
+		<edge from-layer="908" from-port="2" to-layer="910" to-port="0" />
+		<edge from-layer="909" from-port="0" to-layer="910" to-port="1" />
+		<edge from-layer="910" from-port="2" to-layer="924" to-port="1" />
+		<edge from-layer="911" from-port="0" to-layer="912" to-port="0" />
+		<edge from-layer="912" from-port="1" to-layer="914" to-port="0" />
+		<edge from-layer="913" from-port="0" to-layer="914" to-port="1" />
+		<edge from-layer="914" from-port="2" to-layer="915" to-port="0" />
+		<edge from-layer="915" from-port="1" to-layer="916" to-port="1" />
+		<edge from-layer="916" from-port="2" to-layer="919" to-port="0" />
+		<edge from-layer="917" from-port="0" to-layer="918" to-port="0" />
+		<edge from-layer="918" from-port="1" to-layer="919" to-port="1" />
+		<edge from-layer="919" from-port="2" to-layer="921" to-port="0" />
+		<edge from-layer="920" from-port="0" to-layer="921" to-port="1" />
+		<edge from-layer="921" from-port="2" to-layer="923" to-port="0" />
+		<edge from-layer="922" from-port="0" to-layer="923" to-port="1" />
+		<edge from-layer="923" from-port="2" to-layer="924" to-port="2" />
+		<edge from-layer="924" from-port="3" to-layer="926" to-port="0" />
+		<edge from-layer="925" from-port="0" to-layer="926" to-port="1" />
+		<edge from-layer="926" from-port="2" to-layer="928" to-port="0" />
+		<edge from-layer="927" from-port="0" to-layer="928" to-port="1" />
+		<edge from-layer="928" from-port="2" to-layer="934" to-port="0" />
+		<edge from-layer="929" from-port="0" to-layer="930" to-port="0" />
+		<edge from-layer="930" from-port="1" to-layer="932" to-port="0" />
+		<edge from-layer="931" from-port="0" to-layer="932" to-port="1" />
+		<edge from-layer="932" from-port="2" to-layer="933" to-port="0" />
+		<edge from-layer="933" from-port="1" to-layer="934" to-port="1" />
+		<edge from-layer="934" from-port="2" to-layer="937" to-port="0" />
+		<edge from-layer="935" from-port="0" to-layer="936" to-port="0" />
+		<edge from-layer="936" from-port="1" to-layer="937" to-port="1" />
+		<edge from-layer="937" from-port="2" to-layer="938" to-port="1" />
+		<edge from-layer="938" from-port="2" to-layer="940" to-port="0" />
+		<edge from-layer="938" from-port="2" to-layer="964" to-port="0" />
+		<edge from-layer="939" from-port="0" to-layer="940" to-port="1" />
+		<edge from-layer="940" from-port="2" to-layer="942" to-port="0" />
+		<edge from-layer="941" from-port="0" to-layer="942" to-port="1" />
+		<edge from-layer="942" from-port="2" to-layer="944" to-port="0" />
+		<edge from-layer="943" from-port="0" to-layer="944" to-port="1" />
+		<edge from-layer="944" from-port="2" to-layer="950" to-port="0" />
+		<edge from-layer="945" from-port="0" to-layer="946" to-port="0" />
+		<edge from-layer="946" from-port="1" to-layer="948" to-port="0" />
+		<edge from-layer="947" from-port="0" to-layer="948" to-port="1" />
+		<edge from-layer="948" from-port="2" to-layer="949" to-port="0" />
+		<edge from-layer="949" from-port="1" to-layer="950" to-port="1" />
+		<edge from-layer="950" from-port="2" to-layer="953" to-port="0" />
+		<edge from-layer="951" from-port="0" to-layer="952" to-port="0" />
+		<edge from-layer="952" from-port="1" to-layer="953" to-port="1" />
+		<edge from-layer="953" from-port="2" to-layer="954" to-port="0" />
+		<edge from-layer="954" from-port="1" to-layer="960" to-port="0" />
+		<edge from-layer="955" from-port="0" to-layer="956" to-port="0" />
+		<edge from-layer="956" from-port="1" to-layer="958" to-port="0" />
+		<edge from-layer="957" from-port="0" to-layer="958" to-port="1" />
+		<edge from-layer="958" from-port="2" to-layer="959" to-port="0" />
+		<edge from-layer="959" from-port="1" to-layer="960" to-port="1" />
+		<edge from-layer="960" from-port="2" to-layer="963" to-port="0" />
+		<edge from-layer="961" from-port="0" to-layer="962" to-port="0" />
+		<edge from-layer="962" from-port="1" to-layer="963" to-port="1" />
+		<edge from-layer="963" from-port="2" to-layer="964" to-port="1" />
+		<edge from-layer="964" from-port="2" to-layer="966" to-port="0" />
+		<edge from-layer="964" from-port="2" to-layer="1024" to-port="0" />
+		<edge from-layer="965" from-port="0" to-layer="966" to-port="1" />
+		<edge from-layer="966" from-port="2" to-layer="968" to-port="0" />
+		<edge from-layer="967" from-port="0" to-layer="968" to-port="1" />
+		<edge from-layer="968" from-port="2" to-layer="970" to-port="0" />
+		<edge from-layer="969" from-port="0" to-layer="970" to-port="1" />
+		<edge from-layer="970" from-port="2" to-layer="976" to-port="0" />
+		<edge from-layer="970" from-port="2" to-layer="1002" to-port="0" />
+		<edge from-layer="970" from-port="2" to-layer="989" to-port="0" />
+		<edge from-layer="971" from-port="0" to-layer="972" to-port="0" />
+		<edge from-layer="972" from-port="1" to-layer="974" to-port="0" />
+		<edge from-layer="973" from-port="0" to-layer="974" to-port="1" />
+		<edge from-layer="974" from-port="2" to-layer="975" to-port="0" />
+		<edge from-layer="975" from-port="1" to-layer="976" to-port="1" />
+		<edge from-layer="976" from-port="2" to-layer="979" to-port="0" />
+		<edge from-layer="977" from-port="0" to-layer="978" to-port="0" />
+		<edge from-layer="978" from-port="1" to-layer="979" to-port="1" />
+		<edge from-layer="979" from-port="2" to-layer="981" to-port="0" />
+		<edge from-layer="980" from-port="0" to-layer="981" to-port="1" />
+		<edge from-layer="981" from-port="2" to-layer="983" to-port="0" />
+		<edge from-layer="982" from-port="0" to-layer="983" to-port="1" />
+		<edge from-layer="983" from-port="2" to-layer="1010" to-port="0" />
+		<edge from-layer="984" from-port="0" to-layer="985" to-port="0" />
+		<edge from-layer="985" from-port="1" to-layer="987" to-port="0" />
+		<edge from-layer="986" from-port="0" to-layer="987" to-port="1" />
+		<edge from-layer="987" from-port="2" to-layer="988" to-port="0" />
+		<edge from-layer="988" from-port="1" to-layer="989" to-port="1" />
+		<edge from-layer="989" from-port="2" to-layer="992" to-port="0" />
+		<edge from-layer="990" from-port="0" to-layer="991" to-port="0" />
+		<edge from-layer="991" from-port="1" to-layer="992" to-port="1" />
+		<edge from-layer="992" from-port="2" to-layer="994" to-port="0" />
+		<edge from-layer="993" from-port="0" to-layer="994" to-port="1" />
+		<edge from-layer="994" from-port="2" to-layer="996" to-port="0" />
+		<edge from-layer="995" from-port="0" to-layer="996" to-port="1" />
+		<edge from-layer="996" from-port="2" to-layer="1010" to-port="1" />
+		<edge from-layer="997" from-port="0" to-layer="998" to-port="0" />
+		<edge from-layer="998" from-port="1" to-layer="1000" to-port="0" />
+		<edge from-layer="999" from-port="0" to-layer="1000" to-port="1" />
+		<edge from-layer="1000" from-port="2" to-layer="1001" to-port="0" />
+		<edge from-layer="1001" from-port="1" to-layer="1002" to-port="1" />
+		<edge from-layer="1002" from-port="2" to-layer="1005" to-port="0" />
+		<edge from-layer="1003" from-port="0" to-layer="1004" to-port="0" />
+		<edge from-layer="1004" from-port="1" to-layer="1005" to-port="1" />
+		<edge from-layer="1005" from-port="2" to-layer="1007" to-port="0" />
+		<edge from-layer="1006" from-port="0" to-layer="1007" to-port="1" />
+		<edge from-layer="1007" from-port="2" to-layer="1009" to-port="0" />
+		<edge from-layer="1008" from-port="0" to-layer="1009" to-port="1" />
+		<edge from-layer="1009" from-port="2" to-layer="1010" to-port="2" />
+		<edge from-layer="1010" from-port="3" to-layer="1012" to-port="0" />
+		<edge from-layer="1011" from-port="0" to-layer="1012" to-port="1" />
+		<edge from-layer="1012" from-port="2" to-layer="1014" to-port="0" />
+		<edge from-layer="1013" from-port="0" to-layer="1014" to-port="1" />
+		<edge from-layer="1014" from-port="2" to-layer="1020" to-port="0" />
+		<edge from-layer="1015" from-port="0" to-layer="1016" to-port="0" />
+		<edge from-layer="1016" from-port="1" to-layer="1018" to-port="0" />
+		<edge from-layer="1017" from-port="0" to-layer="1018" to-port="1" />
+		<edge from-layer="1018" from-port="2" to-layer="1019" to-port="0" />
+		<edge from-layer="1019" from-port="1" to-layer="1020" to-port="1" />
+		<edge from-layer="1020" from-port="2" to-layer="1023" to-port="0" />
+		<edge from-layer="1021" from-port="0" to-layer="1022" to-port="0" />
+		<edge from-layer="1022" from-port="1" to-layer="1023" to-port="1" />
+		<edge from-layer="1023" from-port="2" to-layer="1024" to-port="1" />
+		<edge from-layer="1024" from-port="2" to-layer="1026" to-port="0" />
+		<edge from-layer="1024" from-port="2" to-layer="1050" to-port="0" />
+		<edge from-layer="1025" from-port="0" to-layer="1026" to-port="1" />
+		<edge from-layer="1026" from-port="2" to-layer="1028" to-port="0" />
+		<edge from-layer="1027" from-port="0" to-layer="1028" to-port="1" />
+		<edge from-layer="1028" from-port="2" to-layer="1030" to-port="0" />
+		<edge from-layer="1029" from-port="0" to-layer="1030" to-port="1" />
+		<edge from-layer="1030" from-port="2" to-layer="1036" to-port="0" />
+		<edge from-layer="1031" from-port="0" to-layer="1032" to-port="0" />
+		<edge from-layer="1032" from-port="1" to-layer="1034" to-port="0" />
+		<edge from-layer="1033" from-port="0" to-layer="1034" to-port="1" />
+		<edge from-layer="1034" from-port="2" to-layer="1035" to-port="0" />
+		<edge from-layer="1035" from-port="1" to-layer="1036" to-port="1" />
+		<edge from-layer="1036" from-port="2" to-layer="1039" to-port="0" />
+		<edge from-layer="1037" from-port="0" to-layer="1038" to-port="0" />
+		<edge from-layer="1038" from-port="1" to-layer="1039" to-port="1" />
+		<edge from-layer="1039" from-port="2" to-layer="1040" to-port="0" />
+		<edge from-layer="1040" from-port="1" to-layer="1046" to-port="0" />
+		<edge from-layer="1041" from-port="0" to-layer="1042" to-port="0" />
+		<edge from-layer="1042" from-port="1" to-layer="1044" to-port="0" />
+		<edge from-layer="1043" from-port="0" to-layer="1044" to-port="1" />
+		<edge from-layer="1044" from-port="2" to-layer="1045" to-port="0" />
+		<edge from-layer="1045" from-port="1" to-layer="1046" to-port="1" />
+		<edge from-layer="1046" from-port="2" to-layer="1049" to-port="0" />
+		<edge from-layer="1047" from-port="0" to-layer="1048" to-port="0" />
+		<edge from-layer="1048" from-port="1" to-layer="1049" to-port="1" />
+		<edge from-layer="1049" from-port="2" to-layer="1050" to-port="1" />
+		<edge from-layer="1050" from-port="2" to-layer="1052" to-port="0" />
+		<edge from-layer="1050" from-port="2" to-layer="1110" to-port="0" />
+		<edge from-layer="1051" from-port="0" to-layer="1052" to-port="1" />
+		<edge from-layer="1052" from-port="2" to-layer="1054" to-port="0" />
+		<edge from-layer="1053" from-port="0" to-layer="1054" to-port="1" />
+		<edge from-layer="1054" from-port="2" to-layer="1056" to-port="0" />
+		<edge from-layer="1055" from-port="0" to-layer="1056" to-port="1" />
+		<edge from-layer="1056" from-port="2" to-layer="1088" to-port="0" />
+		<edge from-layer="1056" from-port="2" to-layer="1075" to-port="0" />
+		<edge from-layer="1056" from-port="2" to-layer="1062" to-port="0" />
+		<edge from-layer="1057" from-port="0" to-layer="1058" to-port="0" />
+		<edge from-layer="1058" from-port="1" to-layer="1060" to-port="0" />
+		<edge from-layer="1059" from-port="0" to-layer="1060" to-port="1" />
+		<edge from-layer="1060" from-port="2" to-layer="1061" to-port="0" />
+		<edge from-layer="1061" from-port="1" to-layer="1062" to-port="1" />
+		<edge from-layer="1062" from-port="2" to-layer="1065" to-port="0" />
+		<edge from-layer="1063" from-port="0" to-layer="1064" to-port="0" />
+		<edge from-layer="1064" from-port="1" to-layer="1065" to-port="1" />
+		<edge from-layer="1065" from-port="2" to-layer="1067" to-port="0" />
+		<edge from-layer="1066" from-port="0" to-layer="1067" to-port="1" />
+		<edge from-layer="1067" from-port="2" to-layer="1069" to-port="0" />
+		<edge from-layer="1068" from-port="0" to-layer="1069" to-port="1" />
+		<edge from-layer="1069" from-port="2" to-layer="1096" to-port="0" />
+		<edge from-layer="1070" from-port="0" to-layer="1071" to-port="0" />
+		<edge from-layer="1071" from-port="1" to-layer="1073" to-port="0" />
+		<edge from-layer="1072" from-port="0" to-layer="1073" to-port="1" />
+		<edge from-layer="1073" from-port="2" to-layer="1074" to-port="0" />
+		<edge from-layer="1074" from-port="1" to-layer="1075" to-port="1" />
+		<edge from-layer="1075" from-port="2" to-layer="1078" to-port="0" />
+		<edge from-layer="1076" from-port="0" to-layer="1077" to-port="0" />
+		<edge from-layer="1077" from-port="1" to-layer="1078" to-port="1" />
+		<edge from-layer="1078" from-port="2" to-layer="1080" to-port="0" />
+		<edge from-layer="1079" from-port="0" to-layer="1080" to-port="1" />
+		<edge from-layer="1080" from-port="2" to-layer="1082" to-port="0" />
+		<edge from-layer="1081" from-port="0" to-layer="1082" to-port="1" />
+		<edge from-layer="1082" from-port="2" to-layer="1096" to-port="1" />
+		<edge from-layer="1083" from-port="0" to-layer="1084" to-port="0" />
+		<edge from-layer="1084" from-port="1" to-layer="1086" to-port="0" />
+		<edge from-layer="1085" from-port="0" to-layer="1086" to-port="1" />
+		<edge from-layer="1086" from-port="2" to-layer="1087" to-port="0" />
+		<edge from-layer="1087" from-port="1" to-layer="1088" to-port="1" />
+		<edge from-layer="1088" from-port="2" to-layer="1091" to-port="0" />
+		<edge from-layer="1089" from-port="0" to-layer="1090" to-port="0" />
+		<edge from-layer="1090" from-port="1" to-layer="1091" to-port="1" />
+		<edge from-layer="1091" from-port="2" to-layer="1093" to-port="0" />
+		<edge from-layer="1092" from-port="0" to-layer="1093" to-port="1" />
+		<edge from-layer="1093" from-port="2" to-layer="1095" to-port="0" />
+		<edge from-layer="1094" from-port="0" to-layer="1095" to-port="1" />
+		<edge from-layer="1095" from-port="2" to-layer="1096" to-port="2" />
+		<edge from-layer="1096" from-port="3" to-layer="1098" to-port="0" />
+		<edge from-layer="1097" from-port="0" to-layer="1098" to-port="1" />
+		<edge from-layer="1098" from-port="2" to-layer="1100" to-port="0" />
+		<edge from-layer="1099" from-port="0" to-layer="1100" to-port="1" />
+		<edge from-layer="1100" from-port="2" to-layer="1106" to-port="0" />
+		<edge from-layer="1101" from-port="0" to-layer="1102" to-port="0" />
+		<edge from-layer="1102" from-port="1" to-layer="1104" to-port="0" />
+		<edge from-layer="1103" from-port="0" to-layer="1104" to-port="1" />
+		<edge from-layer="1104" from-port="2" to-layer="1105" to-port="0" />
+		<edge from-layer="1105" from-port="1" to-layer="1106" to-port="1" />
+		<edge from-layer="1106" from-port="2" to-layer="1109" to-port="0" />
+		<edge from-layer="1107" from-port="0" to-layer="1108" to-port="0" />
+		<edge from-layer="1108" from-port="1" to-layer="1109" to-port="1" />
+		<edge from-layer="1109" from-port="2" to-layer="1110" to-port="1" />
+		<edge from-layer="1110" from-port="2" to-layer="1112" to-port="0" />
+		<edge from-layer="1110" from-port="2" to-layer="1136" to-port="0" />
+		<edge from-layer="1111" from-port="0" to-layer="1112" to-port="1" />
+		<edge from-layer="1112" from-port="2" to-layer="1114" to-port="0" />
+		<edge from-layer="1113" from-port="0" to-layer="1114" to-port="1" />
+		<edge from-layer="1114" from-port="2" to-layer="1116" to-port="0" />
+		<edge from-layer="1115" from-port="0" to-layer="1116" to-port="1" />
+		<edge from-layer="1116" from-port="2" to-layer="1122" to-port="0" />
+		<edge from-layer="1117" from-port="0" to-layer="1118" to-port="0" />
+		<edge from-layer="1118" from-port="1" to-layer="1120" to-port="0" />
+		<edge from-layer="1119" from-port="0" to-layer="1120" to-port="1" />
+		<edge from-layer="1120" from-port="2" to-layer="1121" to-port="0" />
+		<edge from-layer="1121" from-port="1" to-layer="1122" to-port="1" />
+		<edge from-layer="1122" from-port="2" to-layer="1125" to-port="0" />
+		<edge from-layer="1123" from-port="0" to-layer="1124" to-port="0" />
+		<edge from-layer="1124" from-port="1" to-layer="1125" to-port="1" />
+		<edge from-layer="1125" from-port="2" to-layer="1126" to-port="0" />
+		<edge from-layer="1126" from-port="1" to-layer="1132" to-port="0" />
+		<edge from-layer="1127" from-port="0" to-layer="1128" to-port="0" />
+		<edge from-layer="1128" from-port="1" to-layer="1130" to-port="0" />
+		<edge from-layer="1129" from-port="0" to-layer="1130" to-port="1" />
+		<edge from-layer="1130" from-port="2" to-layer="1131" to-port="0" />
+		<edge from-layer="1131" from-port="1" to-layer="1132" to-port="1" />
+		<edge from-layer="1132" from-port="2" to-layer="1135" to-port="0" />
+		<edge from-layer="1133" from-port="0" to-layer="1134" to-port="0" />
+		<edge from-layer="1134" from-port="1" to-layer="1135" to-port="1" />
+		<edge from-layer="1135" from-port="2" to-layer="1136" to-port="1" />
+		<edge from-layer="1136" from-port="2" to-layer="1138" to-port="0" />
+		<edge from-layer="1136" from-port="2" to-layer="1196" to-port="0" />
+		<edge from-layer="1137" from-port="0" to-layer="1138" to-port="1" />
+		<edge from-layer="1138" from-port="2" to-layer="1140" to-port="0" />
+		<edge from-layer="1139" from-port="0" to-layer="1140" to-port="1" />
+		<edge from-layer="1140" from-port="2" to-layer="1142" to-port="0" />
+		<edge from-layer="1141" from-port="0" to-layer="1142" to-port="1" />
+		<edge from-layer="1142" from-port="2" to-layer="1161" to-port="0" />
+		<edge from-layer="1142" from-port="2" to-layer="1174" to-port="0" />
+		<edge from-layer="1142" from-port="2" to-layer="1148" to-port="0" />
+		<edge from-layer="1143" from-port="0" to-layer="1144" to-port="0" />
+		<edge from-layer="1144" from-port="1" to-layer="1146" to-port="0" />
+		<edge from-layer="1145" from-port="0" to-layer="1146" to-port="1" />
+		<edge from-layer="1146" from-port="2" to-layer="1147" to-port="0" />
+		<edge from-layer="1147" from-port="1" to-layer="1148" to-port="1" />
+		<edge from-layer="1148" from-port="2" to-layer="1151" to-port="0" />
+		<edge from-layer="1149" from-port="0" to-layer="1150" to-port="0" />
+		<edge from-layer="1150" from-port="1" to-layer="1151" to-port="1" />
+		<edge from-layer="1151" from-port="2" to-layer="1153" to-port="0" />
+		<edge from-layer="1152" from-port="0" to-layer="1153" to-port="1" />
+		<edge from-layer="1153" from-port="2" to-layer="1155" to-port="0" />
+		<edge from-layer="1154" from-port="0" to-layer="1155" to-port="1" />
+		<edge from-layer="1155" from-port="2" to-layer="1182" to-port="0" />
+		<edge from-layer="1156" from-port="0" to-layer="1157" to-port="0" />
+		<edge from-layer="1157" from-port="1" to-layer="1159" to-port="0" />
+		<edge from-layer="1158" from-port="0" to-layer="1159" to-port="1" />
+		<edge from-layer="1159" from-port="2" to-layer="1160" to-port="0" />
+		<edge from-layer="1160" from-port="1" to-layer="1161" to-port="1" />
+		<edge from-layer="1161" from-port="2" to-layer="1164" to-port="0" />
+		<edge from-layer="1162" from-port="0" to-layer="1163" to-port="0" />
+		<edge from-layer="1163" from-port="1" to-layer="1164" to-port="1" />
+		<edge from-layer="1164" from-port="2" to-layer="1166" to-port="0" />
+		<edge from-layer="1165" from-port="0" to-layer="1166" to-port="1" />
+		<edge from-layer="1166" from-port="2" to-layer="1168" to-port="0" />
+		<edge from-layer="1167" from-port="0" to-layer="1168" to-port="1" />
+		<edge from-layer="1168" from-port="2" to-layer="1182" to-port="1" />
+		<edge from-layer="1169" from-port="0" to-layer="1170" to-port="0" />
+		<edge from-layer="1170" from-port="1" to-layer="1172" to-port="0" />
+		<edge from-layer="1171" from-port="0" to-layer="1172" to-port="1" />
+		<edge from-layer="1172" from-port="2" to-layer="1173" to-port="0" />
+		<edge from-layer="1173" from-port="1" to-layer="1174" to-port="1" />
+		<edge from-layer="1174" from-port="2" to-layer="1177" to-port="0" />
+		<edge from-layer="1175" from-port="0" to-layer="1176" to-port="0" />
+		<edge from-layer="1176" from-port="1" to-layer="1177" to-port="1" />
+		<edge from-layer="1177" from-port="2" to-layer="1179" to-port="0" />
+		<edge from-layer="1178" from-port="0" to-layer="1179" to-port="1" />
+		<edge from-layer="1179" from-port="2" to-layer="1181" to-port="0" />
+		<edge from-layer="1180" from-port="0" to-layer="1181" to-port="1" />
+		<edge from-layer="1181" from-port="2" to-layer="1182" to-port="2" />
+		<edge from-layer="1182" from-port="3" to-layer="1184" to-port="0" />
+		<edge from-layer="1183" from-port="0" to-layer="1184" to-port="1" />
+		<edge from-layer="1184" from-port="2" to-layer="1186" to-port="0" />
+		<edge from-layer="1185" from-port="0" to-layer="1186" to-port="1" />
+		<edge from-layer="1186" from-port="2" to-layer="1192" to-port="0" />
+		<edge from-layer="1187" from-port="0" to-layer="1188" to-port="0" />
+		<edge from-layer="1188" from-port="1" to-layer="1190" to-port="0" />
+		<edge from-layer="1189" from-port="0" to-layer="1190" to-port="1" />
+		<edge from-layer="1190" from-port="2" to-layer="1191" to-port="0" />
+		<edge from-layer="1191" from-port="1" to-layer="1192" to-port="1" />
+		<edge from-layer="1192" from-port="2" to-layer="1195" to-port="0" />
+		<edge from-layer="1193" from-port="0" to-layer="1194" to-port="0" />
+		<edge from-layer="1194" from-port="1" to-layer="1195" to-port="1" />
+		<edge from-layer="1195" from-port="2" to-layer="1196" to-port="1" />
+		<edge from-layer="1196" from-port="2" to-layer="1222" to-port="0" />
+		<edge from-layer="1196" from-port="2" to-layer="1198" to-port="0" />
+		<edge from-layer="1197" from-port="0" to-layer="1198" to-port="1" />
+		<edge from-layer="1198" from-port="2" to-layer="1200" to-port="0" />
+		<edge from-layer="1199" from-port="0" to-layer="1200" to-port="1" />
+		<edge from-layer="1200" from-port="2" to-layer="1202" to-port="0" />
+		<edge from-layer="1201" from-port="0" to-layer="1202" to-port="1" />
+		<edge from-layer="1202" from-port="2" to-layer="1208" to-port="0" />
+		<edge from-layer="1203" from-port="0" to-layer="1204" to-port="0" />
+		<edge from-layer="1204" from-port="1" to-layer="1206" to-port="0" />
+		<edge from-layer="1205" from-port="0" to-layer="1206" to-port="1" />
+		<edge from-layer="1206" from-port="2" to-layer="1207" to-port="0" />
+		<edge from-layer="1207" from-port="1" to-layer="1208" to-port="1" />
+		<edge from-layer="1208" from-port="2" to-layer="1211" to-port="0" />
+		<edge from-layer="1209" from-port="0" to-layer="1210" to-port="0" />
+		<edge from-layer="1210" from-port="1" to-layer="1211" to-port="1" />
+		<edge from-layer="1211" from-port="2" to-layer="1212" to-port="0" />
+		<edge from-layer="1212" from-port="1" to-layer="1218" to-port="0" />
+		<edge from-layer="1213" from-port="0" to-layer="1214" to-port="0" />
+		<edge from-layer="1214" from-port="1" to-layer="1216" to-port="0" />
+		<edge from-layer="1215" from-port="0" to-layer="1216" to-port="1" />
+		<edge from-layer="1216" from-port="2" to-layer="1217" to-port="0" />
+		<edge from-layer="1217" from-port="1" to-layer="1218" to-port="1" />
+		<edge from-layer="1218" from-port="2" to-layer="1221" to-port="0" />
+		<edge from-layer="1219" from-port="0" to-layer="1220" to-port="0" />
+		<edge from-layer="1220" from-port="1" to-layer="1221" to-port="1" />
+		<edge from-layer="1221" from-port="2" to-layer="1222" to-port="1" />
+		<edge from-layer="1222" from-port="2" to-layer="1224" to-port="0" />
+		<edge from-layer="1222" from-port="2" to-layer="1282" to-port="0" />
+		<edge from-layer="1223" from-port="0" to-layer="1224" to-port="1" />
+		<edge from-layer="1224" from-port="2" to-layer="1226" to-port="0" />
+		<edge from-layer="1225" from-port="0" to-layer="1226" to-port="1" />
+		<edge from-layer="1226" from-port="2" to-layer="1228" to-port="0" />
+		<edge from-layer="1227" from-port="0" to-layer="1228" to-port="1" />
+		<edge from-layer="1228" from-port="2" to-layer="1260" to-port="0" />
+		<edge from-layer="1228" from-port="2" to-layer="1247" to-port="0" />
+		<edge from-layer="1228" from-port="2" to-layer="1234" to-port="0" />
+		<edge from-layer="1229" from-port="0" to-layer="1230" to-port="0" />
+		<edge from-layer="1230" from-port="1" to-layer="1232" to-port="0" />
+		<edge from-layer="1231" from-port="0" to-layer="1232" to-port="1" />
+		<edge from-layer="1232" from-port="2" to-layer="1233" to-port="0" />
+		<edge from-layer="1233" from-port="1" to-layer="1234" to-port="1" />
+		<edge from-layer="1234" from-port="2" to-layer="1237" to-port="0" />
+		<edge from-layer="1235" from-port="0" to-layer="1236" to-port="0" />
+		<edge from-layer="1236" from-port="1" to-layer="1237" to-port="1" />
+		<edge from-layer="1237" from-port="2" to-layer="1239" to-port="0" />
+		<edge from-layer="1238" from-port="0" to-layer="1239" to-port="1" />
+		<edge from-layer="1239" from-port="2" to-layer="1241" to-port="0" />
+		<edge from-layer="1240" from-port="0" to-layer="1241" to-port="1" />
+		<edge from-layer="1241" from-port="2" to-layer="1268" to-port="0" />
+		<edge from-layer="1242" from-port="0" to-layer="1243" to-port="0" />
+		<edge from-layer="1243" from-port="1" to-layer="1245" to-port="0" />
+		<edge from-layer="1244" from-port="0" to-layer="1245" to-port="1" />
+		<edge from-layer="1245" from-port="2" to-layer="1246" to-port="0" />
+		<edge from-layer="1246" from-port="1" to-layer="1247" to-port="1" />
+		<edge from-layer="1247" from-port="2" to-layer="1250" to-port="0" />
+		<edge from-layer="1248" from-port="0" to-layer="1249" to-port="0" />
+		<edge from-layer="1249" from-port="1" to-layer="1250" to-port="1" />
+		<edge from-layer="1250" from-port="2" to-layer="1252" to-port="0" />
+		<edge from-layer="1251" from-port="0" to-layer="1252" to-port="1" />
+		<edge from-layer="1252" from-port="2" to-layer="1254" to-port="0" />
+		<edge from-layer="1253" from-port="0" to-layer="1254" to-port="1" />
+		<edge from-layer="1254" from-port="2" to-layer="1268" to-port="1" />
+		<edge from-layer="1255" from-port="0" to-layer="1256" to-port="0" />
+		<edge from-layer="1256" from-port="1" to-layer="1258" to-port="0" />
+		<edge from-layer="1257" from-port="0" to-layer="1258" to-port="1" />
+		<edge from-layer="1258" from-port="2" to-layer="1259" to-port="0" />
+		<edge from-layer="1259" from-port="1" to-layer="1260" to-port="1" />
+		<edge from-layer="1260" from-port="2" to-layer="1263" to-port="0" />
+		<edge from-layer="1261" from-port="0" to-layer="1262" to-port="0" />
+		<edge from-layer="1262" from-port="1" to-layer="1263" to-port="1" />
+		<edge from-layer="1263" from-port="2" to-layer="1265" to-port="0" />
+		<edge from-layer="1264" from-port="0" to-layer="1265" to-port="1" />
+		<edge from-layer="1265" from-port="2" to-layer="1267" to-port="0" />
+		<edge from-layer="1266" from-port="0" to-layer="1267" to-port="1" />
+		<edge from-layer="1267" from-port="2" to-layer="1268" to-port="2" />
+		<edge from-layer="1268" from-port="3" to-layer="1270" to-port="0" />
+		<edge from-layer="1269" from-port="0" to-layer="1270" to-port="1" />
+		<edge from-layer="1270" from-port="2" to-layer="1272" to-port="0" />
+		<edge from-layer="1271" from-port="0" to-layer="1272" to-port="1" />
+		<edge from-layer="1272" from-port="2" to-layer="1278" to-port="0" />
+		<edge from-layer="1273" from-port="0" to-layer="1274" to-port="0" />
+		<edge from-layer="1274" from-port="1" to-layer="1276" to-port="0" />
+		<edge from-layer="1275" from-port="0" to-layer="1276" to-port="1" />
+		<edge from-layer="1276" from-port="2" to-layer="1277" to-port="0" />
+		<edge from-layer="1277" from-port="1" to-layer="1278" to-port="1" />
+		<edge from-layer="1278" from-port="2" to-layer="1281" to-port="0" />
+		<edge from-layer="1279" from-port="0" to-layer="1280" to-port="0" />
+		<edge from-layer="1280" from-port="1" to-layer="1281" to-port="1" />
+		<edge from-layer="1281" from-port="2" to-layer="1282" to-port="1" />
+		<edge from-layer="1282" from-port="2" to-layer="1308" to-port="0" />
+		<edge from-layer="1282" from-port="2" to-layer="1284" to-port="0" />
+		<edge from-layer="1283" from-port="0" to-layer="1284" to-port="1" />
+		<edge from-layer="1284" from-port="2" to-layer="1286" to-port="0" />
+		<edge from-layer="1285" from-port="0" to-layer="1286" to-port="1" />
+		<edge from-layer="1286" from-port="2" to-layer="1288" to-port="0" />
+		<edge from-layer="1287" from-port="0" to-layer="1288" to-port="1" />
+		<edge from-layer="1288" from-port="2" to-layer="1294" to-port="0" />
+		<edge from-layer="1289" from-port="0" to-layer="1290" to-port="0" />
+		<edge from-layer="1290" from-port="1" to-layer="1292" to-port="0" />
+		<edge from-layer="1291" from-port="0" to-layer="1292" to-port="1" />
+		<edge from-layer="1292" from-port="2" to-layer="1293" to-port="0" />
+		<edge from-layer="1293" from-port="1" to-layer="1294" to-port="1" />
+		<edge from-layer="1294" from-port="2" to-layer="1297" to-port="0" />
+		<edge from-layer="1295" from-port="0" to-layer="1296" to-port="0" />
+		<edge from-layer="1296" from-port="1" to-layer="1297" to-port="1" />
+		<edge from-layer="1297" from-port="2" to-layer="1298" to-port="0" />
+		<edge from-layer="1298" from-port="1" to-layer="1304" to-port="0" />
+		<edge from-layer="1299" from-port="0" to-layer="1300" to-port="0" />
+		<edge from-layer="1300" from-port="1" to-layer="1302" to-port="0" />
+		<edge from-layer="1301" from-port="0" to-layer="1302" to-port="1" />
+		<edge from-layer="1302" from-port="2" to-layer="1303" to-port="0" />
+		<edge from-layer="1303" from-port="1" to-layer="1304" to-port="1" />
+		<edge from-layer="1304" from-port="2" to-layer="1307" to-port="0" />
+		<edge from-layer="1305" from-port="0" to-layer="1306" to-port="0" />
+		<edge from-layer="1306" from-port="1" to-layer="1307" to-port="1" />
+		<edge from-layer="1307" from-port="2" to-layer="1308" to-port="1" />
+		<edge from-layer="1308" from-port="2" to-layer="1310" to-port="0" />
+		<edge from-layer="1308" from-port="2" to-layer="1368" to-port="0" />
+		<edge from-layer="1309" from-port="0" to-layer="1310" to-port="1" />
+		<edge from-layer="1310" from-port="2" to-layer="1312" to-port="0" />
+		<edge from-layer="1311" from-port="0" to-layer="1312" to-port="1" />
+		<edge from-layer="1312" from-port="2" to-layer="1314" to-port="0" />
+		<edge from-layer="1313" from-port="0" to-layer="1314" to-port="1" />
+		<edge from-layer="1314" from-port="2" to-layer="1346" to-port="0" />
+		<edge from-layer="1314" from-port="2" to-layer="1333" to-port="0" />
+		<edge from-layer="1314" from-port="2" to-layer="1320" to-port="0" />
+		<edge from-layer="1315" from-port="0" to-layer="1316" to-port="0" />
+		<edge from-layer="1316" from-port="1" to-layer="1318" to-port="0" />
+		<edge from-layer="1317" from-port="0" to-layer="1318" to-port="1" />
+		<edge from-layer="1318" from-port="2" to-layer="1319" to-port="0" />
+		<edge from-layer="1319" from-port="1" to-layer="1320" to-port="1" />
+		<edge from-layer="1320" from-port="2" to-layer="1323" to-port="0" />
+		<edge from-layer="1321" from-port="0" to-layer="1322" to-port="0" />
+		<edge from-layer="1322" from-port="1" to-layer="1323" to-port="1" />
+		<edge from-layer="1323" from-port="2" to-layer="1325" to-port="0" />
+		<edge from-layer="1324" from-port="0" to-layer="1325" to-port="1" />
+		<edge from-layer="1325" from-port="2" to-layer="1327" to-port="0" />
+		<edge from-layer="1326" from-port="0" to-layer="1327" to-port="1" />
+		<edge from-layer="1327" from-port="2" to-layer="1354" to-port="0" />
+		<edge from-layer="1328" from-port="0" to-layer="1329" to-port="0" />
+		<edge from-layer="1329" from-port="1" to-layer="1331" to-port="0" />
+		<edge from-layer="1330" from-port="0" to-layer="1331" to-port="1" />
+		<edge from-layer="1331" from-port="2" to-layer="1332" to-port="0" />
+		<edge from-layer="1332" from-port="1" to-layer="1333" to-port="1" />
+		<edge from-layer="1333" from-port="2" to-layer="1336" to-port="0" />
+		<edge from-layer="1334" from-port="0" to-layer="1335" to-port="0" />
+		<edge from-layer="1335" from-port="1" to-layer="1336" to-port="1" />
+		<edge from-layer="1336" from-port="2" to-layer="1338" to-port="0" />
+		<edge from-layer="1337" from-port="0" to-layer="1338" to-port="1" />
+		<edge from-layer="1338" from-port="2" to-layer="1340" to-port="0" />
+		<edge from-layer="1339" from-port="0" to-layer="1340" to-port="1" />
+		<edge from-layer="1340" from-port="2" to-layer="1354" to-port="1" />
+		<edge from-layer="1341" from-port="0" to-layer="1342" to-port="0" />
+		<edge from-layer="1342" from-port="1" to-layer="1344" to-port="0" />
+		<edge from-layer="1343" from-port="0" to-layer="1344" to-port="1" />
+		<edge from-layer="1344" from-port="2" to-layer="1345" to-port="0" />
+		<edge from-layer="1345" from-port="1" to-layer="1346" to-port="1" />
+		<edge from-layer="1346" from-port="2" to-layer="1349" to-port="0" />
+		<edge from-layer="1347" from-port="0" to-layer="1348" to-port="0" />
+		<edge from-layer="1348" from-port="1" to-layer="1349" to-port="1" />
+		<edge from-layer="1349" from-port="2" to-layer="1351" to-port="0" />
+		<edge from-layer="1350" from-port="0" to-layer="1351" to-port="1" />
+		<edge from-layer="1351" from-port="2" to-layer="1353" to-port="0" />
+		<edge from-layer="1352" from-port="0" to-layer="1353" to-port="1" />
+		<edge from-layer="1353" from-port="2" to-layer="1354" to-port="2" />
+		<edge from-layer="1354" from-port="3" to-layer="1356" to-port="0" />
+		<edge from-layer="1355" from-port="0" to-layer="1356" to-port="1" />
+		<edge from-layer="1356" from-port="2" to-layer="1358" to-port="0" />
+		<edge from-layer="1357" from-port="0" to-layer="1358" to-port="1" />
+		<edge from-layer="1358" from-port="2" to-layer="1364" to-port="0" />
+		<edge from-layer="1359" from-port="0" to-layer="1360" to-port="0" />
+		<edge from-layer="1360" from-port="1" to-layer="1362" to-port="0" />
+		<edge from-layer="1361" from-port="0" to-layer="1362" to-port="1" />
+		<edge from-layer="1362" from-port="2" to-layer="1363" to-port="0" />
+		<edge from-layer="1363" from-port="1" to-layer="1364" to-port="1" />
+		<edge from-layer="1364" from-port="2" to-layer="1367" to-port="0" />
+		<edge from-layer="1365" from-port="0" to-layer="1366" to-port="0" />
+		<edge from-layer="1366" from-port="1" to-layer="1367" to-port="1" />
+		<edge from-layer="1367" from-port="2" to-layer="1368" to-port="1" />
+		<edge from-layer="1368" from-port="2" to-layer="1370" to-port="0" />
+		<edge from-layer="1368" from-port="2" to-layer="1394" to-port="0" />
+		<edge from-layer="1369" from-port="0" to-layer="1370" to-port="1" />
+		<edge from-layer="1370" from-port="2" to-layer="1372" to-port="0" />
+		<edge from-layer="1371" from-port="0" to-layer="1372" to-port="1" />
+		<edge from-layer="1372" from-port="2" to-layer="1374" to-port="0" />
+		<edge from-layer="1373" from-port="0" to-layer="1374" to-port="1" />
+		<edge from-layer="1374" from-port="2" to-layer="1380" to-port="0" />
+		<edge from-layer="1375" from-port="0" to-layer="1376" to-port="0" />
+		<edge from-layer="1376" from-port="1" to-layer="1378" to-port="0" />
+		<edge from-layer="1377" from-port="0" to-layer="1378" to-port="1" />
+		<edge from-layer="1378" from-port="2" to-layer="1379" to-port="0" />
+		<edge from-layer="1379" from-port="1" to-layer="1380" to-port="1" />
+		<edge from-layer="1380" from-port="2" to-layer="1383" to-port="0" />
+		<edge from-layer="1381" from-port="0" to-layer="1382" to-port="0" />
+		<edge from-layer="1382" from-port="1" to-layer="1383" to-port="1" />
+		<edge from-layer="1383" from-port="2" to-layer="1384" to-port="0" />
+		<edge from-layer="1384" from-port="1" to-layer="1390" to-port="0" />
+		<edge from-layer="1385" from-port="0" to-layer="1386" to-port="0" />
+		<edge from-layer="1386" from-port="1" to-layer="1388" to-port="0" />
+		<edge from-layer="1387" from-port="0" to-layer="1388" to-port="1" />
+		<edge from-layer="1388" from-port="2" to-layer="1389" to-port="0" />
+		<edge from-layer="1389" from-port="1" to-layer="1390" to-port="1" />
+		<edge from-layer="1390" from-port="2" to-layer="1393" to-port="0" />
+		<edge from-layer="1391" from-port="0" to-layer="1392" to-port="0" />
+		<edge from-layer="1392" from-port="1" to-layer="1393" to-port="1" />
+		<edge from-layer="1393" from-port="2" to-layer="1394" to-port="1" />
+		<edge from-layer="1394" from-port="2" to-layer="1396" to-port="0" />
+		<edge from-layer="1394" from-port="2" to-layer="1454" to-port="0" />
+		<edge from-layer="1395" from-port="0" to-layer="1396" to-port="1" />
+		<edge from-layer="1396" from-port="2" to-layer="1398" to-port="0" />
+		<edge from-layer="1397" from-port="0" to-layer="1398" to-port="1" />
+		<edge from-layer="1398" from-port="2" to-layer="1400" to-port="0" />
+		<edge from-layer="1399" from-port="0" to-layer="1400" to-port="1" />
+		<edge from-layer="1400" from-port="2" to-layer="1406" to-port="0" />
+		<edge from-layer="1400" from-port="2" to-layer="1432" to-port="0" />
+		<edge from-layer="1400" from-port="2" to-layer="1419" to-port="0" />
+		<edge from-layer="1401" from-port="0" to-layer="1402" to-port="0" />
+		<edge from-layer="1402" from-port="1" to-layer="1404" to-port="0" />
+		<edge from-layer="1403" from-port="0" to-layer="1404" to-port="1" />
+		<edge from-layer="1404" from-port="2" to-layer="1405" to-port="0" />
+		<edge from-layer="1405" from-port="1" to-layer="1406" to-port="1" />
+		<edge from-layer="1406" from-port="2" to-layer="1409" to-port="0" />
+		<edge from-layer="1407" from-port="0" to-layer="1408" to-port="0" />
+		<edge from-layer="1408" from-port="1" to-layer="1409" to-port="1" />
+		<edge from-layer="1409" from-port="2" to-layer="1411" to-port="0" />
+		<edge from-layer="1410" from-port="0" to-layer="1411" to-port="1" />
+		<edge from-layer="1411" from-port="2" to-layer="1413" to-port="0" />
+		<edge from-layer="1412" from-port="0" to-layer="1413" to-port="1" />
+		<edge from-layer="1413" from-port="2" to-layer="1440" to-port="0" />
+		<edge from-layer="1414" from-port="0" to-layer="1415" to-port="0" />
+		<edge from-layer="1415" from-port="1" to-layer="1417" to-port="0" />
+		<edge from-layer="1416" from-port="0" to-layer="1417" to-port="1" />
+		<edge from-layer="1417" from-port="2" to-layer="1418" to-port="0" />
+		<edge from-layer="1418" from-port="1" to-layer="1419" to-port="1" />
+		<edge from-layer="1419" from-port="2" to-layer="1422" to-port="0" />
+		<edge from-layer="1420" from-port="0" to-layer="1421" to-port="0" />
+		<edge from-layer="1421" from-port="1" to-layer="1422" to-port="1" />
+		<edge from-layer="1422" from-port="2" to-layer="1424" to-port="0" />
+		<edge from-layer="1423" from-port="0" to-layer="1424" to-port="1" />
+		<edge from-layer="1424" from-port="2" to-layer="1426" to-port="0" />
+		<edge from-layer="1425" from-port="0" to-layer="1426" to-port="1" />
+		<edge from-layer="1426" from-port="2" to-layer="1440" to-port="1" />
+		<edge from-layer="1427" from-port="0" to-layer="1428" to-port="0" />
+		<edge from-layer="1428" from-port="1" to-layer="1430" to-port="0" />
+		<edge from-layer="1429" from-port="0" to-layer="1430" to-port="1" />
+		<edge from-layer="1430" from-port="2" to-layer="1431" to-port="0" />
+		<edge from-layer="1431" from-port="1" to-layer="1432" to-port="1" />
+		<edge from-layer="1432" from-port="2" to-layer="1435" to-port="0" />
+		<edge from-layer="1433" from-port="0" to-layer="1434" to-port="0" />
+		<edge from-layer="1434" from-port="1" to-layer="1435" to-port="1" />
+		<edge from-layer="1435" from-port="2" to-layer="1437" to-port="0" />
+		<edge from-layer="1436" from-port="0" to-layer="1437" to-port="1" />
+		<edge from-layer="1437" from-port="2" to-layer="1439" to-port="0" />
+		<edge from-layer="1438" from-port="0" to-layer="1439" to-port="1" />
+		<edge from-layer="1439" from-port="2" to-layer="1440" to-port="2" />
+		<edge from-layer="1440" from-port="3" to-layer="1442" to-port="0" />
+		<edge from-layer="1441" from-port="0" to-layer="1442" to-port="1" />
+		<edge from-layer="1442" from-port="2" to-layer="1444" to-port="0" />
+		<edge from-layer="1443" from-port="0" to-layer="1444" to-port="1" />
+		<edge from-layer="1444" from-port="2" to-layer="1450" to-port="0" />
+		<edge from-layer="1445" from-port="0" to-layer="1446" to-port="0" />
+		<edge from-layer="1446" from-port="1" to-layer="1448" to-port="0" />
+		<edge from-layer="1447" from-port="0" to-layer="1448" to-port="1" />
+		<edge from-layer="1448" from-port="2" to-layer="1449" to-port="0" />
+		<edge from-layer="1449" from-port="1" to-layer="1450" to-port="1" />
+		<edge from-layer="1450" from-port="2" to-layer="1453" to-port="0" />
+		<edge from-layer="1451" from-port="0" to-layer="1452" to-port="0" />
+		<edge from-layer="1452" from-port="1" to-layer="1453" to-port="1" />
+		<edge from-layer="1453" from-port="2" to-layer="1454" to-port="1" />
+		<edge from-layer="1454" from-port="2" to-layer="1480" to-port="0" />
+		<edge from-layer="1454" from-port="2" to-layer="1456" to-port="0" />
+		<edge from-layer="1455" from-port="0" to-layer="1456" to-port="1" />
+		<edge from-layer="1456" from-port="2" to-layer="1458" to-port="0" />
+		<edge from-layer="1457" from-port="0" to-layer="1458" to-port="1" />
+		<edge from-layer="1458" from-port="2" to-layer="1460" to-port="0" />
+		<edge from-layer="1459" from-port="0" to-layer="1460" to-port="1" />
+		<edge from-layer="1460" from-port="2" to-layer="1466" to-port="0" />
+		<edge from-layer="1461" from-port="0" to-layer="1462" to-port="0" />
+		<edge from-layer="1462" from-port="1" to-layer="1464" to-port="0" />
+		<edge from-layer="1463" from-port="0" to-layer="1464" to-port="1" />
+		<edge from-layer="1464" from-port="2" to-layer="1465" to-port="0" />
+		<edge from-layer="1465" from-port="1" to-layer="1466" to-port="1" />
+		<edge from-layer="1466" from-port="2" to-layer="1469" to-port="0" />
+		<edge from-layer="1467" from-port="0" to-layer="1468" to-port="0" />
+		<edge from-layer="1468" from-port="1" to-layer="1469" to-port="1" />
+		<edge from-layer="1469" from-port="2" to-layer="1470" to-port="0" />
+		<edge from-layer="1470" from-port="1" to-layer="1476" to-port="0" />
+		<edge from-layer="1471" from-port="0" to-layer="1472" to-port="0" />
+		<edge from-layer="1472" from-port="1" to-layer="1474" to-port="0" />
+		<edge from-layer="1473" from-port="0" to-layer="1474" to-port="1" />
+		<edge from-layer="1474" from-port="2" to-layer="1475" to-port="0" />
+		<edge from-layer="1475" from-port="1" to-layer="1476" to-port="1" />
+		<edge from-layer="1476" from-port="2" to-layer="1479" to-port="0" />
+		<edge from-layer="1477" from-port="0" to-layer="1478" to-port="0" />
+		<edge from-layer="1478" from-port="1" to-layer="1479" to-port="1" />
+		<edge from-layer="1479" from-port="2" to-layer="1480" to-port="1" />
+		<edge from-layer="1480" from-port="2" to-layer="1482" to-port="0" />
+		<edge from-layer="1480" from-port="2" to-layer="1540" to-port="0" />
+		<edge from-layer="1481" from-port="0" to-layer="1482" to-port="1" />
+		<edge from-layer="1482" from-port="2" to-layer="1484" to-port="0" />
+		<edge from-layer="1483" from-port="0" to-layer="1484" to-port="1" />
+		<edge from-layer="1484" from-port="2" to-layer="1486" to-port="0" />
+		<edge from-layer="1485" from-port="0" to-layer="1486" to-port="1" />
+		<edge from-layer="1486" from-port="2" to-layer="1505" to-port="0" />
+		<edge from-layer="1486" from-port="2" to-layer="1518" to-port="0" />
+		<edge from-layer="1486" from-port="2" to-layer="1492" to-port="0" />
+		<edge from-layer="1487" from-port="0" to-layer="1488" to-port="0" />
+		<edge from-layer="1488" from-port="1" to-layer="1490" to-port="0" />
+		<edge from-layer="1489" from-port="0" to-layer="1490" to-port="1" />
+		<edge from-layer="1490" from-port="2" to-layer="1491" to-port="0" />
+		<edge from-layer="1491" from-port="1" to-layer="1492" to-port="1" />
+		<edge from-layer="1492" from-port="2" to-layer="1495" to-port="0" />
+		<edge from-layer="1493" from-port="0" to-layer="1494" to-port="0" />
+		<edge from-layer="1494" from-port="1" to-layer="1495" to-port="1" />
+		<edge from-layer="1495" from-port="2" to-layer="1497" to-port="0" />
+		<edge from-layer="1496" from-port="0" to-layer="1497" to-port="1" />
+		<edge from-layer="1497" from-port="2" to-layer="1499" to-port="0" />
+		<edge from-layer="1498" from-port="0" to-layer="1499" to-port="1" />
+		<edge from-layer="1499" from-port="2" to-layer="1526" to-port="0" />
+		<edge from-layer="1500" from-port="0" to-layer="1501" to-port="0" />
+		<edge from-layer="1501" from-port="1" to-layer="1503" to-port="0" />
+		<edge from-layer="1502" from-port="0" to-layer="1503" to-port="1" />
+		<edge from-layer="1503" from-port="2" to-layer="1504" to-port="0" />
+		<edge from-layer="1504" from-port="1" to-layer="1505" to-port="1" />
+		<edge from-layer="1505" from-port="2" to-layer="1508" to-port="0" />
+		<edge from-layer="1506" from-port="0" to-layer="1507" to-port="0" />
+		<edge from-layer="1507" from-port="1" to-layer="1508" to-port="1" />
+		<edge from-layer="1508" from-port="2" to-layer="1510" to-port="0" />
+		<edge from-layer="1509" from-port="0" to-layer="1510" to-port="1" />
+		<edge from-layer="1510" from-port="2" to-layer="1512" to-port="0" />
+		<edge from-layer="1511" from-port="0" to-layer="1512" to-port="1" />
+		<edge from-layer="1512" from-port="2" to-layer="1526" to-port="1" />
+		<edge from-layer="1513" from-port="0" to-layer="1514" to-port="0" />
+		<edge from-layer="1514" from-port="1" to-layer="1516" to-port="0" />
+		<edge from-layer="1515" from-port="0" to-layer="1516" to-port="1" />
+		<edge from-layer="1516" from-port="2" to-layer="1517" to-port="0" />
+		<edge from-layer="1517" from-port="1" to-layer="1518" to-port="1" />
+		<edge from-layer="1518" from-port="2" to-layer="1521" to-port="0" />
+		<edge from-layer="1519" from-port="0" to-layer="1520" to-port="0" />
+		<edge from-layer="1520" from-port="1" to-layer="1521" to-port="1" />
+		<edge from-layer="1521" from-port="2" to-layer="1523" to-port="0" />
+		<edge from-layer="1522" from-port="0" to-layer="1523" to-port="1" />
+		<edge from-layer="1523" from-port="2" to-layer="1525" to-port="0" />
+		<edge from-layer="1524" from-port="0" to-layer="1525" to-port="1" />
+		<edge from-layer="1525" from-port="2" to-layer="1526" to-port="2" />
+		<edge from-layer="1526" from-port="3" to-layer="1528" to-port="0" />
+		<edge from-layer="1527" from-port="0" to-layer="1528" to-port="1" />
+		<edge from-layer="1528" from-port="2" to-layer="1530" to-port="0" />
+		<edge from-layer="1529" from-port="0" to-layer="1530" to-port="1" />
+		<edge from-layer="1530" from-port="2" to-layer="1536" to-port="0" />
+		<edge from-layer="1531" from-port="0" to-layer="1532" to-port="0" />
+		<edge from-layer="1532" from-port="1" to-layer="1534" to-port="0" />
+		<edge from-layer="1533" from-port="0" to-layer="1534" to-port="1" />
+		<edge from-layer="1534" from-port="2" to-layer="1535" to-port="0" />
+		<edge from-layer="1535" from-port="1" to-layer="1536" to-port="1" />
+		<edge from-layer="1536" from-port="2" to-layer="1539" to-port="0" />
+		<edge from-layer="1537" from-port="0" to-layer="1538" to-port="0" />
+		<edge from-layer="1538" from-port="1" to-layer="1539" to-port="1" />
+		<edge from-layer="1539" from-port="2" to-layer="1540" to-port="1" />
+		<edge from-layer="1540" from-port="2" to-layer="1542" to-port="0" />
+		<edge from-layer="1540" from-port="2" to-layer="1566" to-port="0" />
+		<edge from-layer="1541" from-port="0" to-layer="1542" to-port="1" />
+		<edge from-layer="1542" from-port="2" to-layer="1544" to-port="0" />
+		<edge from-layer="1543" from-port="0" to-layer="1544" to-port="1" />
+		<edge from-layer="1544" from-port="2" to-layer="1546" to-port="0" />
+		<edge from-layer="1545" from-port="0" to-layer="1546" to-port="1" />
+		<edge from-layer="1546" from-port="2" to-layer="1552" to-port="0" />
+		<edge from-layer="1547" from-port="0" to-layer="1548" to-port="0" />
+		<edge from-layer="1548" from-port="1" to-layer="1550" to-port="0" />
+		<edge from-layer="1549" from-port="0" to-layer="1550" to-port="1" />
+		<edge from-layer="1550" from-port="2" to-layer="1551" to-port="0" />
+		<edge from-layer="1551" from-port="1" to-layer="1552" to-port="1" />
+		<edge from-layer="1552" from-port="2" to-layer="1555" to-port="0" />
+		<edge from-layer="1553" from-port="0" to-layer="1554" to-port="0" />
+		<edge from-layer="1554" from-port="1" to-layer="1555" to-port="1" />
+		<edge from-layer="1555" from-port="2" to-layer="1556" to-port="0" />
+		<edge from-layer="1556" from-port="1" to-layer="1562" to-port="0" />
+		<edge from-layer="1557" from-port="0" to-layer="1558" to-port="0" />
+		<edge from-layer="1558" from-port="1" to-layer="1560" to-port="0" />
+		<edge from-layer="1559" from-port="0" to-layer="1560" to-port="1" />
+		<edge from-layer="1560" from-port="2" to-layer="1561" to-port="0" />
+		<edge from-layer="1561" from-port="1" to-layer="1562" to-port="1" />
+		<edge from-layer="1562" from-port="2" to-layer="1565" to-port="0" />
+		<edge from-layer="1563" from-port="0" to-layer="1564" to-port="0" />
+		<edge from-layer="1564" from-port="1" to-layer="1565" to-port="1" />
+		<edge from-layer="1565" from-port="2" to-layer="1566" to-port="1" />
+		<edge from-layer="1566" from-port="2" to-layer="1568" to-port="0" />
+		<edge from-layer="1566" from-port="2" to-layer="1626" to-port="0" />
+		<edge from-layer="1567" from-port="0" to-layer="1568" to-port="1" />
+		<edge from-layer="1568" from-port="2" to-layer="1570" to-port="0" />
+		<edge from-layer="1569" from-port="0" to-layer="1570" to-port="1" />
+		<edge from-layer="1570" from-port="2" to-layer="1572" to-port="0" />
+		<edge from-layer="1571" from-port="0" to-layer="1572" to-port="1" />
+		<edge from-layer="1572" from-port="2" to-layer="1604" to-port="0" />
+		<edge from-layer="1572" from-port="2" to-layer="1591" to-port="0" />
+		<edge from-layer="1572" from-port="2" to-layer="1578" to-port="0" />
+		<edge from-layer="1573" from-port="0" to-layer="1574" to-port="0" />
+		<edge from-layer="1574" from-port="1" to-layer="1576" to-port="0" />
+		<edge from-layer="1575" from-port="0" to-layer="1576" to-port="1" />
+		<edge from-layer="1576" from-port="2" to-layer="1577" to-port="0" />
+		<edge from-layer="1577" from-port="1" to-layer="1578" to-port="1" />
+		<edge from-layer="1578" from-port="2" to-layer="1581" to-port="0" />
+		<edge from-layer="1579" from-port="0" to-layer="1580" to-port="0" />
+		<edge from-layer="1580" from-port="1" to-layer="1581" to-port="1" />
+		<edge from-layer="1581" from-port="2" to-layer="1583" to-port="0" />
+		<edge from-layer="1582" from-port="0" to-layer="1583" to-port="1" />
+		<edge from-layer="1583" from-port="2" to-layer="1585" to-port="0" />
+		<edge from-layer="1584" from-port="0" to-layer="1585" to-port="1" />
+		<edge from-layer="1585" from-port="2" to-layer="1612" to-port="0" />
+		<edge from-layer="1586" from-port="0" to-layer="1587" to-port="0" />
+		<edge from-layer="1587" from-port="1" to-layer="1589" to-port="0" />
+		<edge from-layer="1588" from-port="0" to-layer="1589" to-port="1" />
+		<edge from-layer="1589" from-port="2" to-layer="1590" to-port="0" />
+		<edge from-layer="1590" from-port="1" to-layer="1591" to-port="1" />
+		<edge from-layer="1591" from-port="2" to-layer="1594" to-port="0" />
+		<edge from-layer="1592" from-port="0" to-layer="1593" to-port="0" />
+		<edge from-layer="1593" from-port="1" to-layer="1594" to-port="1" />
+		<edge from-layer="1594" from-port="2" to-layer="1596" to-port="0" />
+		<edge from-layer="1595" from-port="0" to-layer="1596" to-port="1" />
+		<edge from-layer="1596" from-port="2" to-layer="1598" to-port="0" />
+		<edge from-layer="1597" from-port="0" to-layer="1598" to-port="1" />
+		<edge from-layer="1598" from-port="2" to-layer="1612" to-port="1" />
+		<edge from-layer="1599" from-port="0" to-layer="1600" to-port="0" />
+		<edge from-layer="1600" from-port="1" to-layer="1602" to-port="0" />
+		<edge from-layer="1601" from-port="0" to-layer="1602" to-port="1" />
+		<edge from-layer="1602" from-port="2" to-layer="1603" to-port="0" />
+		<edge from-layer="1603" from-port="1" to-layer="1604" to-port="1" />
+		<edge from-layer="1604" from-port="2" to-layer="1607" to-port="0" />
+		<edge from-layer="1605" from-port="0" to-layer="1606" to-port="0" />
+		<edge from-layer="1606" from-port="1" to-layer="1607" to-port="1" />
+		<edge from-layer="1607" from-port="2" to-layer="1609" to-port="0" />
+		<edge from-layer="1608" from-port="0" to-layer="1609" to-port="1" />
+		<edge from-layer="1609" from-port="2" to-layer="1611" to-port="0" />
+		<edge from-layer="1610" from-port="0" to-layer="1611" to-port="1" />
+		<edge from-layer="1611" from-port="2" to-layer="1612" to-port="2" />
+		<edge from-layer="1612" from-port="3" to-layer="1614" to-port="0" />
+		<edge from-layer="1613" from-port="0" to-layer="1614" to-port="1" />
+		<edge from-layer="1614" from-port="2" to-layer="1616" to-port="0" />
+		<edge from-layer="1615" from-port="0" to-layer="1616" to-port="1" />
+		<edge from-layer="1616" from-port="2" to-layer="1622" to-port="0" />
+		<edge from-layer="1617" from-port="0" to-layer="1618" to-port="0" />
+		<edge from-layer="1618" from-port="1" to-layer="1620" to-port="0" />
+		<edge from-layer="1619" from-port="0" to-layer="1620" to-port="1" />
+		<edge from-layer="1620" from-port="2" to-layer="1621" to-port="0" />
+		<edge from-layer="1621" from-port="1" to-layer="1622" to-port="1" />
+		<edge from-layer="1622" from-port="2" to-layer="1625" to-port="0" />
+		<edge from-layer="1623" from-port="0" to-layer="1624" to-port="0" />
+		<edge from-layer="1624" from-port="1" to-layer="1625" to-port="1" />
+		<edge from-layer="1625" from-port="2" to-layer="1626" to-port="1" />
+		<edge from-layer="1626" from-port="2" to-layer="1628" to-port="0" />
+		<edge from-layer="1626" from-port="2" to-layer="1652" to-port="0" />
+		<edge from-layer="1627" from-port="0" to-layer="1628" to-port="1" />
+		<edge from-layer="1628" from-port="2" to-layer="1630" to-port="0" />
+		<edge from-layer="1629" from-port="0" to-layer="1630" to-port="1" />
+		<edge from-layer="1630" from-port="2" to-layer="1632" to-port="0" />
+		<edge from-layer="1631" from-port="0" to-layer="1632" to-port="1" />
+		<edge from-layer="1632" from-port="2" to-layer="1638" to-port="0" />
+		<edge from-layer="1633" from-port="0" to-layer="1634" to-port="0" />
+		<edge from-layer="1634" from-port="1" to-layer="1636" to-port="0" />
+		<edge from-layer="1635" from-port="0" to-layer="1636" to-port="1" />
+		<edge from-layer="1636" from-port="2" to-layer="1637" to-port="0" />
+		<edge from-layer="1637" from-port="1" to-layer="1638" to-port="1" />
+		<edge from-layer="1638" from-port="2" to-layer="1641" to-port="0" />
+		<edge from-layer="1639" from-port="0" to-layer="1640" to-port="0" />
+		<edge from-layer="1640" from-port="1" to-layer="1641" to-port="1" />
+		<edge from-layer="1641" from-port="2" to-layer="1642" to-port="0" />
+		<edge from-layer="1642" from-port="1" to-layer="1648" to-port="0" />
+		<edge from-layer="1643" from-port="0" to-layer="1644" to-port="0" />
+		<edge from-layer="1644" from-port="1" to-layer="1646" to-port="0" />
+		<edge from-layer="1645" from-port="0" to-layer="1646" to-port="1" />
+		<edge from-layer="1646" from-port="2" to-layer="1647" to-port="0" />
+		<edge from-layer="1647" from-port="1" to-layer="1648" to-port="1" />
+		<edge from-layer="1648" from-port="2" to-layer="1651" to-port="0" />
+		<edge from-layer="1649" from-port="0" to-layer="1650" to-port="0" />
+		<edge from-layer="1650" from-port="1" to-layer="1651" to-port="1" />
+		<edge from-layer="1651" from-port="2" to-layer="1652" to-port="1" />
+		<edge from-layer="1652" from-port="2" to-layer="1654" to-port="0" />
+		<edge from-layer="1652" from-port="2" to-layer="1712" to-port="0" />
+		<edge from-layer="1653" from-port="0" to-layer="1654" to-port="1" />
+		<edge from-layer="1654" from-port="2" to-layer="1656" to-port="0" />
+		<edge from-layer="1655" from-port="0" to-layer="1656" to-port="1" />
+		<edge from-layer="1656" from-port="2" to-layer="1658" to-port="0" />
+		<edge from-layer="1657" from-port="0" to-layer="1658" to-port="1" />
+		<edge from-layer="1658" from-port="2" to-layer="1664" to-port="0" />
+		<edge from-layer="1658" from-port="2" to-layer="1690" to-port="0" />
+		<edge from-layer="1658" from-port="2" to-layer="1677" to-port="0" />
+		<edge from-layer="1659" from-port="0" to-layer="1660" to-port="0" />
+		<edge from-layer="1660" from-port="1" to-layer="1662" to-port="0" />
+		<edge from-layer="1661" from-port="0" to-layer="1662" to-port="1" />
+		<edge from-layer="1662" from-port="2" to-layer="1663" to-port="0" />
+		<edge from-layer="1663" from-port="1" to-layer="1664" to-port="1" />
+		<edge from-layer="1664" from-port="2" to-layer="1667" to-port="0" />
+		<edge from-layer="1665" from-port="0" to-layer="1666" to-port="0" />
+		<edge from-layer="1666" from-port="1" to-layer="1667" to-port="1" />
+		<edge from-layer="1667" from-port="2" to-layer="1669" to-port="0" />
+		<edge from-layer="1668" from-port="0" to-layer="1669" to-port="1" />
+		<edge from-layer="1669" from-port="2" to-layer="1671" to-port="0" />
+		<edge from-layer="1670" from-port="0" to-layer="1671" to-port="1" />
+		<edge from-layer="1671" from-port="2" to-layer="1698" to-port="0" />
+		<edge from-layer="1672" from-port="0" to-layer="1673" to-port="0" />
+		<edge from-layer="1673" from-port="1" to-layer="1675" to-port="0" />
+		<edge from-layer="1674" from-port="0" to-layer="1675" to-port="1" />
+		<edge from-layer="1675" from-port="2" to-layer="1676" to-port="0" />
+		<edge from-layer="1676" from-port="1" to-layer="1677" to-port="1" />
+		<edge from-layer="1677" from-port="2" to-layer="1680" to-port="0" />
+		<edge from-layer="1678" from-port="0" to-layer="1679" to-port="0" />
+		<edge from-layer="1679" from-port="1" to-layer="1680" to-port="1" />
+		<edge from-layer="1680" from-port="2" to-layer="1682" to-port="0" />
+		<edge from-layer="1681" from-port="0" to-layer="1682" to-port="1" />
+		<edge from-layer="1682" from-port="2" to-layer="1684" to-port="0" />
+		<edge from-layer="1683" from-port="0" to-layer="1684" to-port="1" />
+		<edge from-layer="1684" from-port="2" to-layer="1698" to-port="1" />
+		<edge from-layer="1685" from-port="0" to-layer="1686" to-port="0" />
+		<edge from-layer="1686" from-port="1" to-layer="1688" to-port="0" />
+		<edge from-layer="1687" from-port="0" to-layer="1688" to-port="1" />
+		<edge from-layer="1688" from-port="2" to-layer="1689" to-port="0" />
+		<edge from-layer="1689" from-port="1" to-layer="1690" to-port="1" />
+		<edge from-layer="1690" from-port="2" to-layer="1693" to-port="0" />
+		<edge from-layer="1691" from-port="0" to-layer="1692" to-port="0" />
+		<edge from-layer="1692" from-port="1" to-layer="1693" to-port="1" />
+		<edge from-layer="1693" from-port="2" to-layer="1695" to-port="0" />
+		<edge from-layer="1694" from-port="0" to-layer="1695" to-port="1" />
+		<edge from-layer="1695" from-port="2" to-layer="1697" to-port="0" />
+		<edge from-layer="1696" from-port="0" to-layer="1697" to-port="1" />
+		<edge from-layer="1697" from-port="2" to-layer="1698" to-port="2" />
+		<edge from-layer="1698" from-port="3" to-layer="1700" to-port="0" />
+		<edge from-layer="1699" from-port="0" to-layer="1700" to-port="1" />
+		<edge from-layer="1700" from-port="2" to-layer="1702" to-port="0" />
+		<edge from-layer="1701" from-port="0" to-layer="1702" to-port="1" />
+		<edge from-layer="1702" from-port="2" to-layer="1708" to-port="0" />
+		<edge from-layer="1703" from-port="0" to-layer="1704" to-port="0" />
+		<edge from-layer="1704" from-port="1" to-layer="1706" to-port="0" />
+		<edge from-layer="1705" from-port="0" to-layer="1706" to-port="1" />
+		<edge from-layer="1706" from-port="2" to-layer="1707" to-port="0" />
+		<edge from-layer="1707" from-port="1" to-layer="1708" to-port="1" />
+		<edge from-layer="1708" from-port="2" to-layer="1711" to-port="0" />
+		<edge from-layer="1709" from-port="0" to-layer="1710" to-port="0" />
+		<edge from-layer="1710" from-port="1" to-layer="1711" to-port="1" />
+		<edge from-layer="1711" from-port="2" to-layer="1712" to-port="1" />
+		<edge from-layer="1712" from-port="2" to-layer="1714" to-port="0" />
+		<edge from-layer="1712" from-port="2" to-layer="1738" to-port="0" />
+		<edge from-layer="1713" from-port="0" to-layer="1714" to-port="1" />
+		<edge from-layer="1714" from-port="2" to-layer="1716" to-port="0" />
+		<edge from-layer="1715" from-port="0" to-layer="1716" to-port="1" />
+		<edge from-layer="1716" from-port="2" to-layer="1718" to-port="0" />
+		<edge from-layer="1717" from-port="0" to-layer="1718" to-port="1" />
+		<edge from-layer="1718" from-port="2" to-layer="1724" to-port="0" />
+		<edge from-layer="1719" from-port="0" to-layer="1720" to-port="0" />
+		<edge from-layer="1720" from-port="1" to-layer="1722" to-port="0" />
+		<edge from-layer="1721" from-port="0" to-layer="1722" to-port="1" />
+		<edge from-layer="1722" from-port="2" to-layer="1723" to-port="0" />
+		<edge from-layer="1723" from-port="1" to-layer="1724" to-port="1" />
+		<edge from-layer="1724" from-port="2" to-layer="1727" to-port="0" />
+		<edge from-layer="1725" from-port="0" to-layer="1726" to-port="0" />
+		<edge from-layer="1726" from-port="1" to-layer="1727" to-port="1" />
+		<edge from-layer="1727" from-port="2" to-layer="1728" to-port="0" />
+		<edge from-layer="1728" from-port="1" to-layer="1734" to-port="0" />
+		<edge from-layer="1729" from-port="0" to-layer="1730" to-port="0" />
+		<edge from-layer="1730" from-port="1" to-layer="1732" to-port="0" />
+		<edge from-layer="1731" from-port="0" to-layer="1732" to-port="1" />
+		<edge from-layer="1732" from-port="2" to-layer="1733" to-port="0" />
+		<edge from-layer="1733" from-port="1" to-layer="1734" to-port="1" />
+		<edge from-layer="1734" from-port="2" to-layer="1737" to-port="0" />
+		<edge from-layer="1735" from-port="0" to-layer="1736" to-port="0" />
+		<edge from-layer="1736" from-port="1" to-layer="1737" to-port="1" />
+		<edge from-layer="1737" from-port="2" to-layer="1738" to-port="1" />
+		<edge from-layer="1738" from-port="2" to-layer="1740" to-port="0" />
+		<edge from-layer="1738" from-port="2" to-layer="1798" to-port="0" />
+		<edge from-layer="1739" from-port="0" to-layer="1740" to-port="1" />
+		<edge from-layer="1740" from-port="2" to-layer="1742" to-port="0" />
+		<edge from-layer="1741" from-port="0" to-layer="1742" to-port="1" />
+		<edge from-layer="1742" from-port="2" to-layer="1744" to-port="0" />
+		<edge from-layer="1743" from-port="0" to-layer="1744" to-port="1" />
+		<edge from-layer="1744" from-port="2" to-layer="1776" to-port="0" />
+		<edge from-layer="1744" from-port="2" to-layer="1763" to-port="0" />
+		<edge from-layer="1744" from-port="2" to-layer="1750" to-port="0" />
+		<edge from-layer="1745" from-port="0" to-layer="1746" to-port="0" />
+		<edge from-layer="1746" from-port="1" to-layer="1748" to-port="0" />
+		<edge from-layer="1747" from-port="0" to-layer="1748" to-port="1" />
+		<edge from-layer="1748" from-port="2" to-layer="1749" to-port="0" />
+		<edge from-layer="1749" from-port="1" to-layer="1750" to-port="1" />
+		<edge from-layer="1750" from-port="2" to-layer="1753" to-port="0" />
+		<edge from-layer="1751" from-port="0" to-layer="1752" to-port="0" />
+		<edge from-layer="1752" from-port="1" to-layer="1753" to-port="1" />
+		<edge from-layer="1753" from-port="2" to-layer="1755" to-port="0" />
+		<edge from-layer="1754" from-port="0" to-layer="1755" to-port="1" />
+		<edge from-layer="1755" from-port="2" to-layer="1757" to-port="0" />
+		<edge from-layer="1756" from-port="0" to-layer="1757" to-port="1" />
+		<edge from-layer="1757" from-port="2" to-layer="1784" to-port="0" />
+		<edge from-layer="1758" from-port="0" to-layer="1759" to-port="0" />
+		<edge from-layer="1759" from-port="1" to-layer="1761" to-port="0" />
+		<edge from-layer="1760" from-port="0" to-layer="1761" to-port="1" />
+		<edge from-layer="1761" from-port="2" to-layer="1762" to-port="0" />
+		<edge from-layer="1762" from-port="1" to-layer="1763" to-port="1" />
+		<edge from-layer="1763" from-port="2" to-layer="1766" to-port="0" />
+		<edge from-layer="1764" from-port="0" to-layer="1765" to-port="0" />
+		<edge from-layer="1765" from-port="1" to-layer="1766" to-port="1" />
+		<edge from-layer="1766" from-port="2" to-layer="1768" to-port="0" />
+		<edge from-layer="1767" from-port="0" to-layer="1768" to-port="1" />
+		<edge from-layer="1768" from-port="2" to-layer="1770" to-port="0" />
+		<edge from-layer="1769" from-port="0" to-layer="1770" to-port="1" />
+		<edge from-layer="1770" from-port="2" to-layer="1784" to-port="1" />
+		<edge from-layer="1771" from-port="0" to-layer="1772" to-port="0" />
+		<edge from-layer="1772" from-port="1" to-layer="1774" to-port="0" />
+		<edge from-layer="1773" from-port="0" to-layer="1774" to-port="1" />
+		<edge from-layer="1774" from-port="2" to-layer="1775" to-port="0" />
+		<edge from-layer="1775" from-port="1" to-layer="1776" to-port="1" />
+		<edge from-layer="1776" from-port="2" to-layer="1779" to-port="0" />
+		<edge from-layer="1777" from-port="0" to-layer="1778" to-port="0" />
+		<edge from-layer="1778" from-port="1" to-layer="1779" to-port="1" />
+		<edge from-layer="1779" from-port="2" to-layer="1781" to-port="0" />
+		<edge from-layer="1780" from-port="0" to-layer="1781" to-port="1" />
+		<edge from-layer="1781" from-port="2" to-layer="1783" to-port="0" />
+		<edge from-layer="1782" from-port="0" to-layer="1783" to-port="1" />
+		<edge from-layer="1783" from-port="2" to-layer="1784" to-port="2" />
+		<edge from-layer="1784" from-port="3" to-layer="1786" to-port="0" />
+		<edge from-layer="1785" from-port="0" to-layer="1786" to-port="1" />
+		<edge from-layer="1786" from-port="2" to-layer="1788" to-port="0" />
+		<edge from-layer="1787" from-port="0" to-layer="1788" to-port="1" />
+		<edge from-layer="1788" from-port="2" to-layer="1794" to-port="0" />
+		<edge from-layer="1789" from-port="0" to-layer="1790" to-port="0" />
+		<edge from-layer="1790" from-port="1" to-layer="1792" to-port="0" />
+		<edge from-layer="1791" from-port="0" to-layer="1792" to-port="1" />
+		<edge from-layer="1792" from-port="2" to-layer="1793" to-port="0" />
+		<edge from-layer="1793" from-port="1" to-layer="1794" to-port="1" />
+		<edge from-layer="1794" from-port="2" to-layer="1797" to-port="0" />
+		<edge from-layer="1795" from-port="0" to-layer="1796" to-port="0" />
+		<edge from-layer="1796" from-port="1" to-layer="1797" to-port="1" />
+		<edge from-layer="1797" from-port="2" to-layer="1798" to-port="1" />
+		<edge from-layer="1798" from-port="2" to-layer="1800" to-port="0" />
+		<edge from-layer="1798" from-port="2" to-layer="1824" to-port="0" />
+		<edge from-layer="1799" from-port="0" to-layer="1800" to-port="1" />
+		<edge from-layer="1800" from-port="2" to-layer="1802" to-port="0" />
+		<edge from-layer="1801" from-port="0" to-layer="1802" to-port="1" />
+		<edge from-layer="1802" from-port="2" to-layer="1804" to-port="0" />
+		<edge from-layer="1803" from-port="0" to-layer="1804" to-port="1" />
+		<edge from-layer="1804" from-port="2" to-layer="1810" to-port="0" />
+		<edge from-layer="1805" from-port="0" to-layer="1806" to-port="0" />
+		<edge from-layer="1806" from-port="1" to-layer="1808" to-port="0" />
+		<edge from-layer="1807" from-port="0" to-layer="1808" to-port="1" />
+		<edge from-layer="1808" from-port="2" to-layer="1809" to-port="0" />
+		<edge from-layer="1809" from-port="1" to-layer="1810" to-port="1" />
+		<edge from-layer="1810" from-port="2" to-layer="1813" to-port="0" />
+		<edge from-layer="1811" from-port="0" to-layer="1812" to-port="0" />
+		<edge from-layer="1812" from-port="1" to-layer="1813" to-port="1" />
+		<edge from-layer="1813" from-port="2" to-layer="1814" to-port="0" />
+		<edge from-layer="1814" from-port="1" to-layer="1820" to-port="0" />
+		<edge from-layer="1815" from-port="0" to-layer="1816" to-port="0" />
+		<edge from-layer="1816" from-port="1" to-layer="1818" to-port="0" />
+		<edge from-layer="1817" from-port="0" to-layer="1818" to-port="1" />
+		<edge from-layer="1818" from-port="2" to-layer="1819" to-port="0" />
+		<edge from-layer="1819" from-port="1" to-layer="1820" to-port="1" />
+		<edge from-layer="1820" from-port="2" to-layer="1823" to-port="0" />
+		<edge from-layer="1821" from-port="0" to-layer="1822" to-port="0" />
+		<edge from-layer="1822" from-port="1" to-layer="1823" to-port="1" />
+		<edge from-layer="1823" from-port="2" to-layer="1824" to-port="1" />
+		<edge from-layer="1824" from-port="2" to-layer="1826" to-port="0" />
+		<edge from-layer="1824" from-port="2" to-layer="1884" to-port="0" />
+		<edge from-layer="1825" from-port="0" to-layer="1826" to-port="1" />
+		<edge from-layer="1826" from-port="2" to-layer="1828" to-port="0" />
+		<edge from-layer="1827" from-port="0" to-layer="1828" to-port="1" />
+		<edge from-layer="1828" from-port="2" to-layer="1830" to-port="0" />
+		<edge from-layer="1829" from-port="0" to-layer="1830" to-port="1" />
+		<edge from-layer="1830" from-port="2" to-layer="1849" to-port="0" />
+		<edge from-layer="1830" from-port="2" to-layer="1862" to-port="0" />
+		<edge from-layer="1830" from-port="2" to-layer="1836" to-port="0" />
+		<edge from-layer="1831" from-port="0" to-layer="1832" to-port="0" />
+		<edge from-layer="1832" from-port="1" to-layer="1834" to-port="0" />
+		<edge from-layer="1833" from-port="0" to-layer="1834" to-port="1" />
+		<edge from-layer="1834" from-port="2" to-layer="1835" to-port="0" />
+		<edge from-layer="1835" from-port="1" to-layer="1836" to-port="1" />
+		<edge from-layer="1836" from-port="2" to-layer="1839" to-port="0" />
+		<edge from-layer="1837" from-port="0" to-layer="1838" to-port="0" />
+		<edge from-layer="1838" from-port="1" to-layer="1839" to-port="1" />
+		<edge from-layer="1839" from-port="2" to-layer="1841" to-port="0" />
+		<edge from-layer="1840" from-port="0" to-layer="1841" to-port="1" />
+		<edge from-layer="1841" from-port="2" to-layer="1843" to-port="0" />
+		<edge from-layer="1842" from-port="0" to-layer="1843" to-port="1" />
+		<edge from-layer="1843" from-port="2" to-layer="1870" to-port="0" />
+		<edge from-layer="1844" from-port="0" to-layer="1845" to-port="0" />
+		<edge from-layer="1845" from-port="1" to-layer="1847" to-port="0" />
+		<edge from-layer="1846" from-port="0" to-layer="1847" to-port="1" />
+		<edge from-layer="1847" from-port="2" to-layer="1848" to-port="0" />
+		<edge from-layer="1848" from-port="1" to-layer="1849" to-port="1" />
+		<edge from-layer="1849" from-port="2" to-layer="1852" to-port="0" />
+		<edge from-layer="1850" from-port="0" to-layer="1851" to-port="0" />
+		<edge from-layer="1851" from-port="1" to-layer="1852" to-port="1" />
+		<edge from-layer="1852" from-port="2" to-layer="1854" to-port="0" />
+		<edge from-layer="1853" from-port="0" to-layer="1854" to-port="1" />
+		<edge from-layer="1854" from-port="2" to-layer="1856" to-port="0" />
+		<edge from-layer="1855" from-port="0" to-layer="1856" to-port="1" />
+		<edge from-layer="1856" from-port="2" to-layer="1870" to-port="1" />
+		<edge from-layer="1857" from-port="0" to-layer="1858" to-port="0" />
+		<edge from-layer="1858" from-port="1" to-layer="1860" to-port="0" />
+		<edge from-layer="1859" from-port="0" to-layer="1860" to-port="1" />
+		<edge from-layer="1860" from-port="2" to-layer="1861" to-port="0" />
+		<edge from-layer="1861" from-port="1" to-layer="1862" to-port="1" />
+		<edge from-layer="1862" from-port="2" to-layer="1865" to-port="0" />
+		<edge from-layer="1863" from-port="0" to-layer="1864" to-port="0" />
+		<edge from-layer="1864" from-port="1" to-layer="1865" to-port="1" />
+		<edge from-layer="1865" from-port="2" to-layer="1867" to-port="0" />
+		<edge from-layer="1866" from-port="0" to-layer="1867" to-port="1" />
+		<edge from-layer="1867" from-port="2" to-layer="1869" to-port="0" />
+		<edge from-layer="1868" from-port="0" to-layer="1869" to-port="1" />
+		<edge from-layer="1869" from-port="2" to-layer="1870" to-port="2" />
+		<edge from-layer="1870" from-port="3" to-layer="1872" to-port="0" />
+		<edge from-layer="1871" from-port="0" to-layer="1872" to-port="1" />
+		<edge from-layer="1872" from-port="2" to-layer="1874" to-port="0" />
+		<edge from-layer="1873" from-port="0" to-layer="1874" to-port="1" />
+		<edge from-layer="1874" from-port="2" to-layer="1880" to-port="0" />
+		<edge from-layer="1875" from-port="0" to-layer="1876" to-port="0" />
+		<edge from-layer="1876" from-port="1" to-layer="1878" to-port="0" />
+		<edge from-layer="1877" from-port="0" to-layer="1878" to-port="1" />
+		<edge from-layer="1878" from-port="2" to-layer="1879" to-port="0" />
+		<edge from-layer="1879" from-port="1" to-layer="1880" to-port="1" />
+		<edge from-layer="1880" from-port="2" to-layer="1883" to-port="0" />
+		<edge from-layer="1881" from-port="0" to-layer="1882" to-port="0" />
+		<edge from-layer="1882" from-port="1" to-layer="1883" to-port="1" />
+		<edge from-layer="1883" from-port="2" to-layer="1884" to-port="1" />
+		<edge from-layer="1884" from-port="2" to-layer="1910" to-port="0" />
+		<edge from-layer="1884" from-port="2" to-layer="1886" to-port="0" />
+		<edge from-layer="1885" from-port="0" to-layer="1886" to-port="1" />
+		<edge from-layer="1886" from-port="2" to-layer="1888" to-port="0" />
+		<edge from-layer="1887" from-port="0" to-layer="1888" to-port="1" />
+		<edge from-layer="1888" from-port="2" to-layer="1890" to-port="0" />
+		<edge from-layer="1889" from-port="0" to-layer="1890" to-port="1" />
+		<edge from-layer="1890" from-port="2" to-layer="1896" to-port="0" />
+		<edge from-layer="1891" from-port="0" to-layer="1892" to-port="0" />
+		<edge from-layer="1892" from-port="1" to-layer="1894" to-port="0" />
+		<edge from-layer="1893" from-port="0" to-layer="1894" to-port="1" />
+		<edge from-layer="1894" from-port="2" to-layer="1895" to-port="0" />
+		<edge from-layer="1895" from-port="1" to-layer="1896" to-port="1" />
+		<edge from-layer="1896" from-port="2" to-layer="1899" to-port="0" />
+		<edge from-layer="1897" from-port="0" to-layer="1898" to-port="0" />
+		<edge from-layer="1898" from-port="1" to-layer="1899" to-port="1" />
+		<edge from-layer="1899" from-port="2" to-layer="1900" to-port="0" />
+		<edge from-layer="1900" from-port="1" to-layer="1906" to-port="0" />
+		<edge from-layer="1901" from-port="0" to-layer="1902" to-port="0" />
+		<edge from-layer="1902" from-port="1" to-layer="1904" to-port="0" />
+		<edge from-layer="1903" from-port="0" to-layer="1904" to-port="1" />
+		<edge from-layer="1904" from-port="2" to-layer="1905" to-port="0" />
+		<edge from-layer="1905" from-port="1" to-layer="1906" to-port="1" />
+		<edge from-layer="1906" from-port="2" to-layer="1909" to-port="0" />
+		<edge from-layer="1907" from-port="0" to-layer="1908" to-port="0" />
+		<edge from-layer="1908" from-port="1" to-layer="1909" to-port="1" />
+		<edge from-layer="1909" from-port="2" to-layer="1910" to-port="1" />
+		<edge from-layer="1910" from-port="2" to-layer="1912" to-port="0" />
+		<edge from-layer="1910" from-port="2" to-layer="1970" to-port="0" />
+		<edge from-layer="1911" from-port="0" to-layer="1912" to-port="1" />
+		<edge from-layer="1912" from-port="2" to-layer="1914" to-port="0" />
+		<edge from-layer="1913" from-port="0" to-layer="1914" to-port="1" />
+		<edge from-layer="1914" from-port="2" to-layer="1916" to-port="0" />
+		<edge from-layer="1915" from-port="0" to-layer="1916" to-port="1" />
+		<edge from-layer="1916" from-port="2" to-layer="1948" to-port="0" />
+		<edge from-layer="1916" from-port="2" to-layer="1922" to-port="0" />
+		<edge from-layer="1916" from-port="2" to-layer="1935" to-port="0" />
+		<edge from-layer="1917" from-port="0" to-layer="1918" to-port="0" />
+		<edge from-layer="1918" from-port="1" to-layer="1920" to-port="0" />
+		<edge from-layer="1919" from-port="0" to-layer="1920" to-port="1" />
+		<edge from-layer="1920" from-port="2" to-layer="1921" to-port="0" />
+		<edge from-layer="1921" from-port="1" to-layer="1922" to-port="1" />
+		<edge from-layer="1922" from-port="2" to-layer="1925" to-port="0" />
+		<edge from-layer="1923" from-port="0" to-layer="1924" to-port="0" />
+		<edge from-layer="1924" from-port="1" to-layer="1925" to-port="1" />
+		<edge from-layer="1925" from-port="2" to-layer="1927" to-port="0" />
+		<edge from-layer="1926" from-port="0" to-layer="1927" to-port="1" />
+		<edge from-layer="1927" from-port="2" to-layer="1929" to-port="0" />
+		<edge from-layer="1928" from-port="0" to-layer="1929" to-port="1" />
+		<edge from-layer="1929" from-port="2" to-layer="1956" to-port="0" />
+		<edge from-layer="1930" from-port="0" to-layer="1931" to-port="0" />
+		<edge from-layer="1931" from-port="1" to-layer="1933" to-port="0" />
+		<edge from-layer="1932" from-port="0" to-layer="1933" to-port="1" />
+		<edge from-layer="1933" from-port="2" to-layer="1934" to-port="0" />
+		<edge from-layer="1934" from-port="1" to-layer="1935" to-port="1" />
+		<edge from-layer="1935" from-port="2" to-layer="1938" to-port="0" />
+		<edge from-layer="1936" from-port="0" to-layer="1937" to-port="0" />
+		<edge from-layer="1937" from-port="1" to-layer="1938" to-port="1" />
+		<edge from-layer="1938" from-port="2" to-layer="1940" to-port="0" />
+		<edge from-layer="1939" from-port="0" to-layer="1940" to-port="1" />
+		<edge from-layer="1940" from-port="2" to-layer="1942" to-port="0" />
+		<edge from-layer="1941" from-port="0" to-layer="1942" to-port="1" />
+		<edge from-layer="1942" from-port="2" to-layer="1956" to-port="1" />
+		<edge from-layer="1943" from-port="0" to-layer="1944" to-port="0" />
+		<edge from-layer="1944" from-port="1" to-layer="1946" to-port="0" />
+		<edge from-layer="1945" from-port="0" to-layer="1946" to-port="1" />
+		<edge from-layer="1946" from-port="2" to-layer="1947" to-port="0" />
+		<edge from-layer="1947" from-port="1" to-layer="1948" to-port="1" />
+		<edge from-layer="1948" from-port="2" to-layer="1951" to-port="0" />
+		<edge from-layer="1949" from-port="0" to-layer="1950" to-port="0" />
+		<edge from-layer="1950" from-port="1" to-layer="1951" to-port="1" />
+		<edge from-layer="1951" from-port="2" to-layer="1953" to-port="0" />
+		<edge from-layer="1952" from-port="0" to-layer="1953" to-port="1" />
+		<edge from-layer="1953" from-port="2" to-layer="1955" to-port="0" />
+		<edge from-layer="1954" from-port="0" to-layer="1955" to-port="1" />
+		<edge from-layer="1955" from-port="2" to-layer="1956" to-port="2" />
+		<edge from-layer="1956" from-port="3" to-layer="1958" to-port="0" />
+		<edge from-layer="1957" from-port="0" to-layer="1958" to-port="1" />
+		<edge from-layer="1958" from-port="2" to-layer="1960" to-port="0" />
+		<edge from-layer="1959" from-port="0" to-layer="1960" to-port="1" />
+		<edge from-layer="1960" from-port="2" to-layer="1966" to-port="0" />
+		<edge from-layer="1961" from-port="0" to-layer="1962" to-port="0" />
+		<edge from-layer="1962" from-port="1" to-layer="1964" to-port="0" />
+		<edge from-layer="1963" from-port="0" to-layer="1964" to-port="1" />
+		<edge from-layer="1964" from-port="2" to-layer="1965" to-port="0" />
+		<edge from-layer="1965" from-port="1" to-layer="1966" to-port="1" />
+		<edge from-layer="1966" from-port="2" to-layer="1969" to-port="0" />
+		<edge from-layer="1967" from-port="0" to-layer="1968" to-port="0" />
+		<edge from-layer="1968" from-port="1" to-layer="1969" to-port="1" />
+		<edge from-layer="1969" from-port="2" to-layer="1970" to-port="1" />
+		<edge from-layer="1970" from-port="2" to-layer="1972" to-port="0" />
+		<edge from-layer="1970" from-port="2" to-layer="1996" to-port="0" />
+		<edge from-layer="1971" from-port="0" to-layer="1972" to-port="1" />
+		<edge from-layer="1972" from-port="2" to-layer="1974" to-port="0" />
+		<edge from-layer="1973" from-port="0" to-layer="1974" to-port="1" />
+		<edge from-layer="1974" from-port="2" to-layer="1976" to-port="0" />
+		<edge from-layer="1975" from-port="0" to-layer="1976" to-port="1" />
+		<edge from-layer="1976" from-port="2" to-layer="1982" to-port="0" />
+		<edge from-layer="1977" from-port="0" to-layer="1978" to-port="0" />
+		<edge from-layer="1978" from-port="1" to-layer="1980" to-port="0" />
+		<edge from-layer="1979" from-port="0" to-layer="1980" to-port="1" />
+		<edge from-layer="1980" from-port="2" to-layer="1981" to-port="0" />
+		<edge from-layer="1981" from-port="1" to-layer="1982" to-port="1" />
+		<edge from-layer="1982" from-port="2" to-layer="1985" to-port="0" />
+		<edge from-layer="1983" from-port="0" to-layer="1984" to-port="0" />
+		<edge from-layer="1984" from-port="1" to-layer="1985" to-port="1" />
+		<edge from-layer="1985" from-port="2" to-layer="1986" to-port="0" />
+		<edge from-layer="1986" from-port="1" to-layer="1992" to-port="0" />
+		<edge from-layer="1987" from-port="0" to-layer="1988" to-port="0" />
+		<edge from-layer="1988" from-port="1" to-layer="1990" to-port="0" />
+		<edge from-layer="1989" from-port="0" to-layer="1990" to-port="1" />
+		<edge from-layer="1990" from-port="2" to-layer="1991" to-port="0" />
+		<edge from-layer="1991" from-port="1" to-layer="1992" to-port="1" />
+		<edge from-layer="1992" from-port="2" to-layer="1995" to-port="0" />
+		<edge from-layer="1993" from-port="0" to-layer="1994" to-port="0" />
+		<edge from-layer="1994" from-port="1" to-layer="1995" to-port="1" />
+		<edge from-layer="1995" from-port="2" to-layer="1996" to-port="1" />
+		<edge from-layer="1996" from-port="2" to-layer="1998" to-port="0" />
+		<edge from-layer="1996" from-port="2" to-layer="2056" to-port="0" />
+		<edge from-layer="1997" from-port="0" to-layer="1998" to-port="1" />
+		<edge from-layer="1998" from-port="2" to-layer="2000" to-port="0" />
+		<edge from-layer="1999" from-port="0" to-layer="2000" to-port="1" />
+		<edge from-layer="2000" from-port="2" to-layer="2002" to-port="0" />
+		<edge from-layer="2001" from-port="0" to-layer="2002" to-port="1" />
+		<edge from-layer="2002" from-port="2" to-layer="2034" to-port="0" />
+		<edge from-layer="2002" from-port="2" to-layer="2021" to-port="0" />
+		<edge from-layer="2002" from-port="2" to-layer="2008" to-port="0" />
+		<edge from-layer="2003" from-port="0" to-layer="2004" to-port="0" />
+		<edge from-layer="2004" from-port="1" to-layer="2006" to-port="0" />
+		<edge from-layer="2005" from-port="0" to-layer="2006" to-port="1" />
+		<edge from-layer="2006" from-port="2" to-layer="2007" to-port="0" />
+		<edge from-layer="2007" from-port="1" to-layer="2008" to-port="1" />
+		<edge from-layer="2008" from-port="2" to-layer="2011" to-port="0" />
+		<edge from-layer="2009" from-port="0" to-layer="2010" to-port="0" />
+		<edge from-layer="2010" from-port="1" to-layer="2011" to-port="1" />
+		<edge from-layer="2011" from-port="2" to-layer="2013" to-port="0" />
+		<edge from-layer="2012" from-port="0" to-layer="2013" to-port="1" />
+		<edge from-layer="2013" from-port="2" to-layer="2015" to-port="0" />
+		<edge from-layer="2014" from-port="0" to-layer="2015" to-port="1" />
+		<edge from-layer="2015" from-port="2" to-layer="2042" to-port="0" />
+		<edge from-layer="2016" from-port="0" to-layer="2017" to-port="0" />
+		<edge from-layer="2017" from-port="1" to-layer="2019" to-port="0" />
+		<edge from-layer="2018" from-port="0" to-layer="2019" to-port="1" />
+		<edge from-layer="2019" from-port="2" to-layer="2020" to-port="0" />
+		<edge from-layer="2020" from-port="1" to-layer="2021" to-port="1" />
+		<edge from-layer="2021" from-port="2" to-layer="2024" to-port="0" />
+		<edge from-layer="2022" from-port="0" to-layer="2023" to-port="0" />
+		<edge from-layer="2023" from-port="1" to-layer="2024" to-port="1" />
+		<edge from-layer="2024" from-port="2" to-layer="2026" to-port="0" />
+		<edge from-layer="2025" from-port="0" to-layer="2026" to-port="1" />
+		<edge from-layer="2026" from-port="2" to-layer="2028" to-port="0" />
+		<edge from-layer="2027" from-port="0" to-layer="2028" to-port="1" />
+		<edge from-layer="2028" from-port="2" to-layer="2042" to-port="1" />
+		<edge from-layer="2029" from-port="0" to-layer="2030" to-port="0" />
+		<edge from-layer="2030" from-port="1" to-layer="2032" to-port="0" />
+		<edge from-layer="2031" from-port="0" to-layer="2032" to-port="1" />
+		<edge from-layer="2032" from-port="2" to-layer="2033" to-port="0" />
+		<edge from-layer="2033" from-port="1" to-layer="2034" to-port="1" />
+		<edge from-layer="2034" from-port="2" to-layer="2037" to-port="0" />
+		<edge from-layer="2035" from-port="0" to-layer="2036" to-port="0" />
+		<edge from-layer="2036" from-port="1" to-layer="2037" to-port="1" />
+		<edge from-layer="2037" from-port="2" to-layer="2039" to-port="0" />
+		<edge from-layer="2038" from-port="0" to-layer="2039" to-port="1" />
+		<edge from-layer="2039" from-port="2" to-layer="2041" to-port="0" />
+		<edge from-layer="2040" from-port="0" to-layer="2041" to-port="1" />
+		<edge from-layer="2041" from-port="2" to-layer="2042" to-port="2" />
+		<edge from-layer="2042" from-port="3" to-layer="2044" to-port="0" />
+		<edge from-layer="2043" from-port="0" to-layer="2044" to-port="1" />
+		<edge from-layer="2044" from-port="2" to-layer="2046" to-port="0" />
+		<edge from-layer="2045" from-port="0" to-layer="2046" to-port="1" />
+		<edge from-layer="2046" from-port="2" to-layer="2052" to-port="0" />
+		<edge from-layer="2047" from-port="0" to-layer="2048" to-port="0" />
+		<edge from-layer="2048" from-port="1" to-layer="2050" to-port="0" />
+		<edge from-layer="2049" from-port="0" to-layer="2050" to-port="1" />
+		<edge from-layer="2050" from-port="2" to-layer="2051" to-port="0" />
+		<edge from-layer="2051" from-port="1" to-layer="2052" to-port="1" />
+		<edge from-layer="2052" from-port="2" to-layer="2055" to-port="0" />
+		<edge from-layer="2053" from-port="0" to-layer="2054" to-port="0" />
+		<edge from-layer="2054" from-port="1" to-layer="2055" to-port="1" />
+		<edge from-layer="2055" from-port="2" to-layer="2056" to-port="1" />
+		<edge from-layer="2056" from-port="2" to-layer="2082" to-port="0" />
+		<edge from-layer="2056" from-port="2" to-layer="2058" to-port="0" />
+		<edge from-layer="2057" from-port="0" to-layer="2058" to-port="1" />
+		<edge from-layer="2058" from-port="2" to-layer="2060" to-port="0" />
+		<edge from-layer="2059" from-port="0" to-layer="2060" to-port="1" />
+		<edge from-layer="2060" from-port="2" to-layer="2062" to-port="0" />
+		<edge from-layer="2061" from-port="0" to-layer="2062" to-port="1" />
+		<edge from-layer="2062" from-port="2" to-layer="2068" to-port="0" />
+		<edge from-layer="2063" from-port="0" to-layer="2064" to-port="0" />
+		<edge from-layer="2064" from-port="1" to-layer="2066" to-port="0" />
+		<edge from-layer="2065" from-port="0" to-layer="2066" to-port="1" />
+		<edge from-layer="2066" from-port="2" to-layer="2067" to-port="0" />
+		<edge from-layer="2067" from-port="1" to-layer="2068" to-port="1" />
+		<edge from-layer="2068" from-port="2" to-layer="2071" to-port="0" />
+		<edge from-layer="2069" from-port="0" to-layer="2070" to-port="0" />
+		<edge from-layer="2070" from-port="1" to-layer="2071" to-port="1" />
+		<edge from-layer="2071" from-port="2" to-layer="2072" to-port="0" />
+		<edge from-layer="2072" from-port="1" to-layer="2078" to-port="0" />
+		<edge from-layer="2073" from-port="0" to-layer="2074" to-port="0" />
+		<edge from-layer="2074" from-port="1" to-layer="2076" to-port="0" />
+		<edge from-layer="2075" from-port="0" to-layer="2076" to-port="1" />
+		<edge from-layer="2076" from-port="2" to-layer="2077" to-port="0" />
+		<edge from-layer="2077" from-port="1" to-layer="2078" to-port="1" />
+		<edge from-layer="2078" from-port="2" to-layer="2081" to-port="0" />
+		<edge from-layer="2079" from-port="0" to-layer="2080" to-port="0" />
+		<edge from-layer="2080" from-port="1" to-layer="2081" to-port="1" />
+		<edge from-layer="2081" from-port="2" to-layer="2082" to-port="1" />
+		<edge from-layer="2082" from-port="2" to-layer="2084" to-port="0" />
+		<edge from-layer="2082" from-port="2" to-layer="2142" to-port="0" />
+		<edge from-layer="2083" from-port="0" to-layer="2084" to-port="1" />
+		<edge from-layer="2084" from-port="2" to-layer="2086" to-port="0" />
+		<edge from-layer="2085" from-port="0" to-layer="2086" to-port="1" />
+		<edge from-layer="2086" from-port="2" to-layer="2088" to-port="0" />
+		<edge from-layer="2087" from-port="0" to-layer="2088" to-port="1" />
+		<edge from-layer="2088" from-port="2" to-layer="2120" to-port="0" />
+		<edge from-layer="2088" from-port="2" to-layer="2107" to-port="0" />
+		<edge from-layer="2088" from-port="2" to-layer="2094" to-port="0" />
+		<edge from-layer="2089" from-port="0" to-layer="2090" to-port="0" />
+		<edge from-layer="2090" from-port="1" to-layer="2092" to-port="0" />
+		<edge from-layer="2091" from-port="0" to-layer="2092" to-port="1" />
+		<edge from-layer="2092" from-port="2" to-layer="2093" to-port="0" />
+		<edge from-layer="2093" from-port="1" to-layer="2094" to-port="1" />
+		<edge from-layer="2094" from-port="2" to-layer="2097" to-port="0" />
+		<edge from-layer="2095" from-port="0" to-layer="2096" to-port="0" />
+		<edge from-layer="2096" from-port="1" to-layer="2097" to-port="1" />
+		<edge from-layer="2097" from-port="2" to-layer="2099" to-port="0" />
+		<edge from-layer="2098" from-port="0" to-layer="2099" to-port="1" />
+		<edge from-layer="2099" from-port="2" to-layer="2101" to-port="0" />
+		<edge from-layer="2100" from-port="0" to-layer="2101" to-port="1" />
+		<edge from-layer="2101" from-port="2" to-layer="2128" to-port="0" />
+		<edge from-layer="2102" from-port="0" to-layer="2103" to-port="0" />
+		<edge from-layer="2103" from-port="1" to-layer="2105" to-port="0" />
+		<edge from-layer="2104" from-port="0" to-layer="2105" to-port="1" />
+		<edge from-layer="2105" from-port="2" to-layer="2106" to-port="0" />
+		<edge from-layer="2106" from-port="1" to-layer="2107" to-port="1" />
+		<edge from-layer="2107" from-port="2" to-layer="2110" to-port="0" />
+		<edge from-layer="2108" from-port="0" to-layer="2109" to-port="0" />
+		<edge from-layer="2109" from-port="1" to-layer="2110" to-port="1" />
+		<edge from-layer="2110" from-port="2" to-layer="2112" to-port="0" />
+		<edge from-layer="2111" from-port="0" to-layer="2112" to-port="1" />
+		<edge from-layer="2112" from-port="2" to-layer="2114" to-port="0" />
+		<edge from-layer="2113" from-port="0" to-layer="2114" to-port="1" />
+		<edge from-layer="2114" from-port="2" to-layer="2128" to-port="1" />
+		<edge from-layer="2115" from-port="0" to-layer="2116" to-port="0" />
+		<edge from-layer="2116" from-port="1" to-layer="2118" to-port="0" />
+		<edge from-layer="2117" from-port="0" to-layer="2118" to-port="1" />
+		<edge from-layer="2118" from-port="2" to-layer="2119" to-port="0" />
+		<edge from-layer="2119" from-port="1" to-layer="2120" to-port="1" />
+		<edge from-layer="2120" from-port="2" to-layer="2123" to-port="0" />
+		<edge from-layer="2121" from-port="0" to-layer="2122" to-port="0" />
+		<edge from-layer="2122" from-port="1" to-layer="2123" to-port="1" />
+		<edge from-layer="2123" from-port="2" to-layer="2125" to-port="0" />
+		<edge from-layer="2124" from-port="0" to-layer="2125" to-port="1" />
+		<edge from-layer="2125" from-port="2" to-layer="2127" to-port="0" />
+		<edge from-layer="2126" from-port="0" to-layer="2127" to-port="1" />
+		<edge from-layer="2127" from-port="2" to-layer="2128" to-port="2" />
+		<edge from-layer="2128" from-port="3" to-layer="2130" to-port="0" />
+		<edge from-layer="2129" from-port="0" to-layer="2130" to-port="1" />
+		<edge from-layer="2130" from-port="2" to-layer="2132" to-port="0" />
+		<edge from-layer="2131" from-port="0" to-layer="2132" to-port="1" />
+		<edge from-layer="2132" from-port="2" to-layer="2138" to-port="0" />
+		<edge from-layer="2133" from-port="0" to-layer="2134" to-port="0" />
+		<edge from-layer="2134" from-port="1" to-layer="2136" to-port="0" />
+		<edge from-layer="2135" from-port="0" to-layer="2136" to-port="1" />
+		<edge from-layer="2136" from-port="2" to-layer="2137" to-port="0" />
+		<edge from-layer="2137" from-port="1" to-layer="2138" to-port="1" />
+		<edge from-layer="2138" from-port="2" to-layer="2141" to-port="0" />
+		<edge from-layer="2139" from-port="0" to-layer="2140" to-port="0" />
+		<edge from-layer="2140" from-port="1" to-layer="2141" to-port="1" />
+		<edge from-layer="2141" from-port="2" to-layer="2142" to-port="1" />
+		<edge from-layer="2142" from-port="2" to-layer="2144" to-port="0" />
+		<edge from-layer="2142" from-port="2" to-layer="2168" to-port="0" />
+		<edge from-layer="2143" from-port="0" to-layer="2144" to-port="1" />
+		<edge from-layer="2144" from-port="2" to-layer="2146" to-port="0" />
+		<edge from-layer="2145" from-port="0" to-layer="2146" to-port="1" />
+		<edge from-layer="2146" from-port="2" to-layer="2148" to-port="0" />
+		<edge from-layer="2147" from-port="0" to-layer="2148" to-port="1" />
+		<edge from-layer="2148" from-port="2" to-layer="2154" to-port="0" />
+		<edge from-layer="2149" from-port="0" to-layer="2150" to-port="0" />
+		<edge from-layer="2150" from-port="1" to-layer="2152" to-port="0" />
+		<edge from-layer="2151" from-port="0" to-layer="2152" to-port="1" />
+		<edge from-layer="2152" from-port="2" to-layer="2153" to-port="0" />
+		<edge from-layer="2153" from-port="1" to-layer="2154" to-port="1" />
+		<edge from-layer="2154" from-port="2" to-layer="2157" to-port="0" />
+		<edge from-layer="2155" from-port="0" to-layer="2156" to-port="0" />
+		<edge from-layer="2156" from-port="1" to-layer="2157" to-port="1" />
+		<edge from-layer="2157" from-port="2" to-layer="2158" to-port="0" />
+		<edge from-layer="2158" from-port="1" to-layer="2164" to-port="0" />
+		<edge from-layer="2159" from-port="0" to-layer="2160" to-port="0" />
+		<edge from-layer="2160" from-port="1" to-layer="2162" to-port="0" />
+		<edge from-layer="2161" from-port="0" to-layer="2162" to-port="1" />
+		<edge from-layer="2162" from-port="2" to-layer="2163" to-port="0" />
+		<edge from-layer="2163" from-port="1" to-layer="2164" to-port="1" />
+		<edge from-layer="2164" from-port="2" to-layer="2167" to-port="0" />
+		<edge from-layer="2165" from-port="0" to-layer="2166" to-port="0" />
+		<edge from-layer="2166" from-port="1" to-layer="2167" to-port="1" />
+		<edge from-layer="2167" from-port="2" to-layer="2168" to-port="1" />
+		<edge from-layer="2168" from-port="2" to-layer="2228" to-port="0" />
+		<edge from-layer="2168" from-port="2" to-layer="2170" to-port="0" />
+		<edge from-layer="2169" from-port="0" to-layer="2170" to-port="1" />
+		<edge from-layer="2170" from-port="2" to-layer="2172" to-port="0" />
+		<edge from-layer="2171" from-port="0" to-layer="2172" to-port="1" />
+		<edge from-layer="2172" from-port="2" to-layer="2174" to-port="0" />
+		<edge from-layer="2173" from-port="0" to-layer="2174" to-port="1" />
+		<edge from-layer="2174" from-port="2" to-layer="2180" to-port="0" />
+		<edge from-layer="2174" from-port="2" to-layer="2206" to-port="0" />
+		<edge from-layer="2174" from-port="2" to-layer="2193" to-port="0" />
+		<edge from-layer="2175" from-port="0" to-layer="2176" to-port="0" />
+		<edge from-layer="2176" from-port="1" to-layer="2178" to-port="0" />
+		<edge from-layer="2177" from-port="0" to-layer="2178" to-port="1" />
+		<edge from-layer="2178" from-port="2" to-layer="2179" to-port="0" />
+		<edge from-layer="2179" from-port="1" to-layer="2180" to-port="1" />
+		<edge from-layer="2180" from-port="2" to-layer="2183" to-port="0" />
+		<edge from-layer="2181" from-port="0" to-layer="2182" to-port="0" />
+		<edge from-layer="2182" from-port="1" to-layer="2183" to-port="1" />
+		<edge from-layer="2183" from-port="2" to-layer="2185" to-port="0" />
+		<edge from-layer="2184" from-port="0" to-layer="2185" to-port="1" />
+		<edge from-layer="2185" from-port="2" to-layer="2187" to-port="0" />
+		<edge from-layer="2186" from-port="0" to-layer="2187" to-port="1" />
+		<edge from-layer="2187" from-port="2" to-layer="2214" to-port="0" />
+		<edge from-layer="2188" from-port="0" to-layer="2189" to-port="0" />
+		<edge from-layer="2189" from-port="1" to-layer="2191" to-port="0" />
+		<edge from-layer="2190" from-port="0" to-layer="2191" to-port="1" />
+		<edge from-layer="2191" from-port="2" to-layer="2192" to-port="0" />
+		<edge from-layer="2192" from-port="1" to-layer="2193" to-port="1" />
+		<edge from-layer="2193" from-port="2" to-layer="2196" to-port="0" />
+		<edge from-layer="2194" from-port="0" to-layer="2195" to-port="0" />
+		<edge from-layer="2195" from-port="1" to-layer="2196" to-port="1" />
+		<edge from-layer="2196" from-port="2" to-layer="2198" to-port="0" />
+		<edge from-layer="2197" from-port="0" to-layer="2198" to-port="1" />
+		<edge from-layer="2198" from-port="2" to-layer="2200" to-port="0" />
+		<edge from-layer="2199" from-port="0" to-layer="2200" to-port="1" />
+		<edge from-layer="2200" from-port="2" to-layer="2214" to-port="1" />
+		<edge from-layer="2201" from-port="0" to-layer="2202" to-port="0" />
+		<edge from-layer="2202" from-port="1" to-layer="2204" to-port="0" />
+		<edge from-layer="2203" from-port="0" to-layer="2204" to-port="1" />
+		<edge from-layer="2204" from-port="2" to-layer="2205" to-port="0" />
+		<edge from-layer="2205" from-port="1" to-layer="2206" to-port="1" />
+		<edge from-layer="2206" from-port="2" to-layer="2209" to-port="0" />
+		<edge from-layer="2207" from-port="0" to-layer="2208" to-port="0" />
+		<edge from-layer="2208" from-port="1" to-layer="2209" to-port="1" />
+		<edge from-layer="2209" from-port="2" to-layer="2211" to-port="0" />
+		<edge from-layer="2210" from-port="0" to-layer="2211" to-port="1" />
+		<edge from-layer="2211" from-port="2" to-layer="2213" to-port="0" />
+		<edge from-layer="2212" from-port="0" to-layer="2213" to-port="1" />
+		<edge from-layer="2213" from-port="2" to-layer="2214" to-port="2" />
+		<edge from-layer="2214" from-port="3" to-layer="2216" to-port="0" />
+		<edge from-layer="2215" from-port="0" to-layer="2216" to-port="1" />
+		<edge from-layer="2216" from-port="2" to-layer="2218" to-port="0" />
+		<edge from-layer="2217" from-port="0" to-layer="2218" to-port="1" />
+		<edge from-layer="2218" from-port="2" to-layer="2224" to-port="0" />
+		<edge from-layer="2219" from-port="0" to-layer="2220" to-port="0" />
+		<edge from-layer="2220" from-port="1" to-layer="2222" to-port="0" />
+		<edge from-layer="2221" from-port="0" to-layer="2222" to-port="1" />
+		<edge from-layer="2222" from-port="2" to-layer="2223" to-port="0" />
+		<edge from-layer="2223" from-port="1" to-layer="2224" to-port="1" />
+		<edge from-layer="2224" from-port="2" to-layer="2227" to-port="0" />
+		<edge from-layer="2225" from-port="0" to-layer="2226" to-port="0" />
+		<edge from-layer="2226" from-port="1" to-layer="2227" to-port="1" />
+		<edge from-layer="2227" from-port="2" to-layer="2228" to-port="1" />
+		<edge from-layer="2228" from-port="2" to-layer="2254" to-port="0" />
+		<edge from-layer="2228" from-port="2" to-layer="2230" to-port="0" />
+		<edge from-layer="2229" from-port="0" to-layer="2230" to-port="1" />
+		<edge from-layer="2230" from-port="2" to-layer="2232" to-port="0" />
+		<edge from-layer="2231" from-port="0" to-layer="2232" to-port="1" />
+		<edge from-layer="2232" from-port="2" to-layer="2234" to-port="0" />
+		<edge from-layer="2233" from-port="0" to-layer="2234" to-port="1" />
+		<edge from-layer="2234" from-port="2" to-layer="2240" to-port="0" />
+		<edge from-layer="2235" from-port="0" to-layer="2236" to-port="0" />
+		<edge from-layer="2236" from-port="1" to-layer="2238" to-port="0" />
+		<edge from-layer="2237" from-port="0" to-layer="2238" to-port="1" />
+		<edge from-layer="2238" from-port="2" to-layer="2239" to-port="0" />
+		<edge from-layer="2239" from-port="1" to-layer="2240" to-port="1" />
+		<edge from-layer="2240" from-port="2" to-layer="2243" to-port="0" />
+		<edge from-layer="2241" from-port="0" to-layer="2242" to-port="0" />
+		<edge from-layer="2242" from-port="1" to-layer="2243" to-port="1" />
+		<edge from-layer="2243" from-port="2" to-layer="2244" to-port="0" />
+		<edge from-layer="2244" from-port="1" to-layer="2250" to-port="0" />
+		<edge from-layer="2245" from-port="0" to-layer="2246" to-port="0" />
+		<edge from-layer="2246" from-port="1" to-layer="2248" to-port="0" />
+		<edge from-layer="2247" from-port="0" to-layer="2248" to-port="1" />
+		<edge from-layer="2248" from-port="2" to-layer="2249" to-port="0" />
+		<edge from-layer="2249" from-port="1" to-layer="2250" to-port="1" />
+		<edge from-layer="2250" from-port="2" to-layer="2253" to-port="0" />
+		<edge from-layer="2251" from-port="0" to-layer="2252" to-port="0" />
+		<edge from-layer="2252" from-port="1" to-layer="2253" to-port="1" />
+		<edge from-layer="2253" from-port="2" to-layer="2254" to-port="1" />
+		<edge from-layer="2254" from-port="2" to-layer="2256" to-port="0" />
+		<edge from-layer="2254" from-port="2" to-layer="2314" to-port="0" />
+		<edge from-layer="2255" from-port="0" to-layer="2256" to-port="1" />
+		<edge from-layer="2256" from-port="2" to-layer="2258" to-port="0" />
+		<edge from-layer="2257" from-port="0" to-layer="2258" to-port="1" />
+		<edge from-layer="2258" from-port="2" to-layer="2260" to-port="0" />
+		<edge from-layer="2259" from-port="0" to-layer="2260" to-port="1" />
+		<edge from-layer="2260" from-port="2" to-layer="2292" to-port="0" />
+		<edge from-layer="2260" from-port="2" to-layer="2279" to-port="0" />
+		<edge from-layer="2260" from-port="2" to-layer="2266" to-port="0" />
+		<edge from-layer="2261" from-port="0" to-layer="2262" to-port="0" />
+		<edge from-layer="2262" from-port="1" to-layer="2264" to-port="0" />
+		<edge from-layer="2263" from-port="0" to-layer="2264" to-port="1" />
+		<edge from-layer="2264" from-port="2" to-layer="2265" to-port="0" />
+		<edge from-layer="2265" from-port="1" to-layer="2266" to-port="1" />
+		<edge from-layer="2266" from-port="2" to-layer="2269" to-port="0" />
+		<edge from-layer="2267" from-port="0" to-layer="2268" to-port="0" />
+		<edge from-layer="2268" from-port="1" to-layer="2269" to-port="1" />
+		<edge from-layer="2269" from-port="2" to-layer="2271" to-port="0" />
+		<edge from-layer="2270" from-port="0" to-layer="2271" to-port="1" />
+		<edge from-layer="2271" from-port="2" to-layer="2273" to-port="0" />
+		<edge from-layer="2272" from-port="0" to-layer="2273" to-port="1" />
+		<edge from-layer="2273" from-port="2" to-layer="2300" to-port="0" />
+		<edge from-layer="2274" from-port="0" to-layer="2275" to-port="0" />
+		<edge from-layer="2275" from-port="1" to-layer="2277" to-port="0" />
+		<edge from-layer="2276" from-port="0" to-layer="2277" to-port="1" />
+		<edge from-layer="2277" from-port="2" to-layer="2278" to-port="0" />
+		<edge from-layer="2278" from-port="1" to-layer="2279" to-port="1" />
+		<edge from-layer="2279" from-port="2" to-layer="2282" to-port="0" />
+		<edge from-layer="2280" from-port="0" to-layer="2281" to-port="0" />
+		<edge from-layer="2281" from-port="1" to-layer="2282" to-port="1" />
+		<edge from-layer="2282" from-port="2" to-layer="2284" to-port="0" />
+		<edge from-layer="2283" from-port="0" to-layer="2284" to-port="1" />
+		<edge from-layer="2284" from-port="2" to-layer="2286" to-port="0" />
+		<edge from-layer="2285" from-port="0" to-layer="2286" to-port="1" />
+		<edge from-layer="2286" from-port="2" to-layer="2300" to-port="1" />
+		<edge from-layer="2287" from-port="0" to-layer="2288" to-port="0" />
+		<edge from-layer="2288" from-port="1" to-layer="2290" to-port="0" />
+		<edge from-layer="2289" from-port="0" to-layer="2290" to-port="1" />
+		<edge from-layer="2290" from-port="2" to-layer="2291" to-port="0" />
+		<edge from-layer="2291" from-port="1" to-layer="2292" to-port="1" />
+		<edge from-layer="2292" from-port="2" to-layer="2295" to-port="0" />
+		<edge from-layer="2293" from-port="0" to-layer="2294" to-port="0" />
+		<edge from-layer="2294" from-port="1" to-layer="2295" to-port="1" />
+		<edge from-layer="2295" from-port="2" to-layer="2297" to-port="0" />
+		<edge from-layer="2296" from-port="0" to-layer="2297" to-port="1" />
+		<edge from-layer="2297" from-port="2" to-layer="2299" to-port="0" />
+		<edge from-layer="2298" from-port="0" to-layer="2299" to-port="1" />
+		<edge from-layer="2299" from-port="2" to-layer="2300" to-port="2" />
+		<edge from-layer="2300" from-port="3" to-layer="2302" to-port="0" />
+		<edge from-layer="2301" from-port="0" to-layer="2302" to-port="1" />
+		<edge from-layer="2302" from-port="2" to-layer="2304" to-port="0" />
+		<edge from-layer="2303" from-port="0" to-layer="2304" to-port="1" />
+		<edge from-layer="2304" from-port="2" to-layer="2310" to-port="0" />
+		<edge from-layer="2305" from-port="0" to-layer="2306" to-port="0" />
+		<edge from-layer="2306" from-port="1" to-layer="2308" to-port="0" />
+		<edge from-layer="2307" from-port="0" to-layer="2308" to-port="1" />
+		<edge from-layer="2308" from-port="2" to-layer="2309" to-port="0" />
+		<edge from-layer="2309" from-port="1" to-layer="2310" to-port="1" />
+		<edge from-layer="2310" from-port="2" to-layer="2313" to-port="0" />
+		<edge from-layer="2311" from-port="0" to-layer="2312" to-port="0" />
+		<edge from-layer="2312" from-port="1" to-layer="2313" to-port="1" />
+		<edge from-layer="2313" from-port="2" to-layer="2314" to-port="1" />
+		<edge from-layer="2314" from-port="2" to-layer="2316" to-port="0" />
+		<edge from-layer="2314" from-port="2" to-layer="2340" to-port="0" />
+		<edge from-layer="2315" from-port="0" to-layer="2316" to-port="1" />
+		<edge from-layer="2316" from-port="2" to-layer="2318" to-port="0" />
+		<edge from-layer="2317" from-port="0" to-layer="2318" to-port="1" />
+		<edge from-layer="2318" from-port="2" to-layer="2320" to-port="0" />
+		<edge from-layer="2319" from-port="0" to-layer="2320" to-port="1" />
+		<edge from-layer="2320" from-port="2" to-layer="2326" to-port="0" />
+		<edge from-layer="2321" from-port="0" to-layer="2322" to-port="0" />
+		<edge from-layer="2322" from-port="1" to-layer="2324" to-port="0" />
+		<edge from-layer="2323" from-port="0" to-layer="2324" to-port="1" />
+		<edge from-layer="2324" from-port="2" to-layer="2325" to-port="0" />
+		<edge from-layer="2325" from-port="1" to-layer="2326" to-port="1" />
+		<edge from-layer="2326" from-port="2" to-layer="2329" to-port="0" />
+		<edge from-layer="2327" from-port="0" to-layer="2328" to-port="0" />
+		<edge from-layer="2328" from-port="1" to-layer="2329" to-port="1" />
+		<edge from-layer="2329" from-port="2" to-layer="2330" to-port="0" />
+		<edge from-layer="2330" from-port="1" to-layer="2336" to-port="0" />
+		<edge from-layer="2331" from-port="0" to-layer="2332" to-port="0" />
+		<edge from-layer="2332" from-port="1" to-layer="2334" to-port="0" />
+		<edge from-layer="2333" from-port="0" to-layer="2334" to-port="1" />
+		<edge from-layer="2334" from-port="2" to-layer="2335" to-port="0" />
+		<edge from-layer="2335" from-port="1" to-layer="2336" to-port="1" />
+		<edge from-layer="2336" from-port="2" to-layer="2339" to-port="0" />
+		<edge from-layer="2337" from-port="0" to-layer="2338" to-port="0" />
+		<edge from-layer="2338" from-port="1" to-layer="2339" to-port="1" />
+		<edge from-layer="2339" from-port="2" to-layer="2340" to-port="1" />
+		<edge from-layer="2340" from-port="2" to-layer="2342" to-port="0" />
+		<edge from-layer="2341" from-port="0" to-layer="2342" to-port="1" />
+		<edge from-layer="2342" from-port="2" to-layer="2344" to-port="0" />
+		<edge from-layer="2343" from-port="0" to-layer="2344" to-port="1" />
+		<edge from-layer="2344" from-port="2" to-layer="2346" to-port="0" />
+		<edge from-layer="2345" from-port="0" to-layer="2346" to-port="1" />
+		<edge from-layer="2346" from-port="2" to-layer="2348" to-port="0" />
+		<edge from-layer="2347" from-port="0" to-layer="2348" to-port="1" />
+		<edge from-layer="2348" from-port="2" to-layer="2350" to-port="0" />
+		<edge from-layer="2349" from-port="0" to-layer="2350" to-port="1" />
+		<edge from-layer="2350" from-port="2" to-layer="2351" to-port="0" />
+		<edge from-layer="2351" from-port="1" to-layer="2353" to-port="0" />
+		<edge from-layer="2352" from-port="0" to-layer="2353" to-port="1" />
+		<edge from-layer="2353" from-port="2" to-layer="2355" to-port="0" />
+		<edge from-layer="2354" from-port="0" to-layer="2355" to-port="1" />
+		<edge from-layer="2355" from-port="2" to-layer="2365" to-port="0" />
+		<edge from-layer="2355" from-port="2" to-layer="2358" to-port="0" />
+		<edge from-layer="2356" from-port="0" to-layer="2364" to-port="0" />
+		<edge from-layer="2357" from-port="0" to-layer="2358" to-port="1" />
+		<edge from-layer="2358" from-port="2" to-layer="2360" to-port="0" />
+		<edge from-layer="2359" from-port="0" to-layer="2360" to-port="1" />
+		<edge from-layer="2360" from-port="2" to-layer="2362" to-port="0" />
+		<edge from-layer="2361" from-port="0" to-layer="2362" to-port="1" />
+		<edge from-layer="2362" from-port="2" to-layer="2363" to-port="0" />
+		<edge from-layer="2363" from-port="1" to-layer="2364" to-port="1" />
+		<edge from-layer="2364" from-port="2" to-layer="2365" to-port="1" />
+		<edge from-layer="2365" from-port="2" to-layer="2367" to-port="0" />
+		<edge from-layer="2366" from-port="0" to-layer="2367" to-port="1" />
+		<edge from-layer="2367" from-port="2" to-layer="2373" to-port="0" />
+		<edge from-layer="2368" from-port="0" to-layer="2369" to-port="0" />
+		<edge from-layer="2369" from-port="1" to-layer="2371" to-port="0" />
+		<edge from-layer="2370" from-port="0" to-layer="2371" to-port="1" />
+		<edge from-layer="2371" from-port="2" to-layer="2372" to-port="0" />
+		<edge from-layer="2372" from-port="1" to-layer="2373" to-port="1" />
+		<edge from-layer="2373" from-port="2" to-layer="2374" to-port="0" />
+	</edges>
+	<rt_info>
+		<Runtime_version value="2025.1.0-18503-6fec06580ab-releases/2025/1" />
+		<conversion_parameters>
+			<framework value="pytorch" />
+			<is_python_object value="True" />
+		</conversion_parameters>
+		<nncf>
+			<friendly_names_were_updated value="True" />
+			<weight_compression>
+				<advanced_parameters value="{'statistics_path': None, 'awq_params': {'subset_size': 32, 'percent_to_apply': 0.002, 'alpha_min': 0.0, 'alpha_max': 1.0, 'steps': 100}, 'scale_estimation_params': {'subset_size': 64, 'initial_steps': 5, 'scale_steps': 5, 'weight_penalty': -1.0}, 'gptq_params': {'damp_percent': 0.1, 'block_size': 128, 'subset_size': 128}, 'lora_correction_params': {'adapter_rank': 8, 'num_iterations': 3, 'apply_regularization': True, 'subset_size': 128, 'use_int8_adapters': True}}" />
+				<all_layers value="False" />
+				<awq value="False" />
+				<backup_mode value="int8_asym" />
+				<gptq value="False" />
+				<group_size value="-1" />
+				<ignored_scope value="[]" />
+				<lora_correction value="False" />
+				<mode value="int8_sym" />
+				<ratio value="1.0" />
+				<scale_estimation value="False" />
+				<sensitivity_metric value="weight_quantization_error" />
+			</weight_compression>
+		</nncf>
+		<optimum>
+			<optimum_intel_version value="1.23.0.dev0+a20051d" />
+			<optimum_version value="1.25.0.dev0" />
+			<pytorch_version value="2.6.0+cpu" />
+			<transformers_version value="4.50.2" />
+		</optimum>
+	</rt_info>
+</net>