Upload 21 files
Browse files- .gitattributes +1 -0
- added_tokens.json +3 -0
- chat_template.json +3 -0
- config.json +63 -0
- generation_config.json +13 -0
- openvino_config.json +27 -0
- openvino_detokenizer.bin +3 -0
- openvino_detokenizer.xml +364 -0
- openvino_language_model.bin +3 -0
- openvino_language_model.xml +0 -0
- openvino_text_embeddings_model.bin +3 -0
- openvino_text_embeddings_model.xml +207 -0
- openvino_tokenizer.bin +3 -0
- openvino_tokenizer.xml +837 -0
- openvino_vision_embeddings_model.bin +3 -0
- openvino_vision_embeddings_model.xml +0 -0
- preprocessor_config.json +29 -0
- processor_config.json +4 -0
- special_tokens_map.json +33 -0
- tokenizer.json +3 -0
- tokenizer.model +3 -0
- tokenizer_config.json +0 -0
.gitattributes
CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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added_tokens.json
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{
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"<image_soft_token>": 262144
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}
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chat_template.json
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{
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"chat_template": "{{ bos_token }} \n{%- if messages[0]['role'] == 'system' -%}\n {%- if messages[0]['content'] is string -%}\n {%- set first_user_prefix = messages[0]['content'] + '\n\n' -%}\n {%- else -%}\n {%- set first_user_prefix = messages[0]['content'][0]['text'] + '\n\n' -%}\n {%- endif -%}\n {%- set loop_messages = messages[1:] -%}\n{%- else -%}\n {%- set first_user_prefix = \"\" -%}\n {%- set loop_messages = messages -%}\n{%- endif -%}\n{%- for message in loop_messages -%}\n {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}\n {{ raise_exception(\"Conversation roles must alternate user/assistant/user/assistant/...\") }}\n {%- endif -%}\n {%- if (message['role'] == 'assistant') -%}\n {%- set role = \"model\" -%}\n {%- else -%}\n {%- set role = message['role'] -%}\n {%- endif -%}\n {{ '<start_of_turn>' + role + '\n' + (first_user_prefix if loop.first else \"\") }}\n {%- if message['content'] is string -%}\n {{ message['content'] | trim }}\n {%- elif message['content'] is iterable -%}\n {%- for item in message['content'] -%}\n {%- if item['type'] == 'image' -%}\n {{ '<start_of_image>' }}\n {%- elif item['type'] == 'text' -%}\n {{ item['text'] | trim }}\n {%- endif -%}\n {%- endfor -%}\n {%- else -%}\n {{ raise_exception(\"Invalid content type\") }}\n {%- endif -%}\n {{ '<end_of_turn>\n' }}\n{%- endfor -%}\n{%- if add_generation_prompt -%}\n {{'<start_of_turn>model\n'}}\n{%- endif -%}\n"
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}
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config.json
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{
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"_attn_implementation_autoset": true,
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"architectures": [
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"Gemma3ForConditionalGeneration"
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],
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"boi_token_index": 255999,
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"eoi_token_index": 256000,
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"eos_token_id": [
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1,
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],
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"image_token_index": 262144,
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"initializer_range": 0.02,
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"mm_tokens_per_image": 256,
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"model_type": "gemma3",
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"text_config": {
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"attention_bias": false,
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"attention_dropout": 0.0,
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"attn_logit_softcapping": null,
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"cache_implementation": "hybrid",
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"final_logit_softcapping": null,
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"head_dim": 256,
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"hidden_activation": "gelu_pytorch_tanh",
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"hidden_size": 3840,
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"initializer_range": 0.02,
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"intermediate_size": 15360,
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"max_position_embeddings": 131072,
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"model_type": "gemma3_text",
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"num_attention_heads": 16,
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"num_hidden_layers": 48,
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"num_key_value_heads": 8,
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"query_pre_attn_scalar": 256,
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"rms_norm_eps": 1e-06,
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"rope_local_base_freq": 10000.0,
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"rope_scaling": {
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"factor": 8.0,
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"rope_type": "linear"
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},
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"rope_theta": 1000000.0,
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"sliding_window": 1024,
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"sliding_window_pattern": 6,
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"torch_dtype": "bfloat16",
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"use_cache": true,
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"vocab_size": 262208
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},
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"torch_dtype": "bfloat16",
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"transformers_version": "4.50.2",
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"vision_config": {
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"attention_dropout": 0.0,
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"hidden_act": "gelu_pytorch_tanh",
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"hidden_size": 1152,
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"image_size": 896,
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"intermediate_size": 4304,
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"layer_norm_eps": 1e-06,
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"model_type": "siglip_vision_model",
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"num_attention_heads": 16,
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"num_channels": 3,
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"num_hidden_layers": 27,
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"patch_size": 14,
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"torch_dtype": "bfloat16",
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"vision_use_head": false
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}
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}
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generation_config.json
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{
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"bos_token_id": 2,
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"cache_implementation": "hybrid",
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"do_sample": true,
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"eos_token_id": [
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1,
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106
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],
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"pad_token_id": 0,
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"top_k": 64,
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"top_p": 0.95,
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"transformers_version": "4.50.2"
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}
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openvino_config.json
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{
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"dtype": "int8",
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"input_info": null,
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"optimum_version": "1.25.0.dev0",
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"quantization_config": {
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"all_layers": null,
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"backup_precision": null,
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"bits": 8,
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"dataset": null,
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"dtype": "int8",
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"gptq": null,
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"group_size": -1,
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"ignored_scope": null,
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"lora_correction": null,
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"num_samples": null,
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"processor": null,
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"quant_method": "default",
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"ratio": 1.0,
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"scale_estimation": null,
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"sensitivity_metric": null,
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"sym": false,
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"tokenizer": null,
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"trust_remote_code": false
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},
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"save_onnx_model": false,
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"transformers_version": "4.50.2"
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}
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openvino_detokenizer.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:665e8659ed3667b8a167ec9abf6e8bf413d149838db3633061a9604c7d2bf86d
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size 3365022
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openvino_detokenizer.xml
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<?xml version="1.0"?>
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<net name="detokenizer" version="11">
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<layers>
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<layer id="0" name="Parameter_2718652" type="Parameter" version="opset1">
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<data shape="?,?" element_type="i64" />
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<output>
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<port id="0" precision="I64" names="Parameter_2718652">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="1" name="Convert_2718674" type="Convert" version="opset1">
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<data destination_type="i32" />
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<input>
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<port id="0" precision="I64">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="1" precision="I32">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="2" name="Constant_2718619" type="Const" version="opset1">
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<data element_type="u8" shape="3364962" offset="0" size="3364962" />
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<output>
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<port id="0" precision="U8">
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<dim>3364962</dim>
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</port>
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</output>
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</layer>
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<layer id="3" name="StringTensorUnpack_2718620" type="StringTensorUnpack" version="extension">
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<data mode="begins_ends" />
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<input>
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<port id="0" precision="U8">
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<dim>3364962</dim>
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</port>
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</input>
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<output>
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<port id="1" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="2" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="3" precision="U8">
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="4" name="Constant_2718656" type="Const" version="opset1">
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<data element_type="i32" shape="9" offset="3364962" size="36" />
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<output>
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<port id="0" precision="I32">
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<dim>9</dim>
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</port>
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</output>
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</layer>
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<layer id="5" name="Constant_2718654" type="Const" version="opset1">
|
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<data element_type="i32" shape="1" offset="3364998" size="4" />
|
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<output>
|
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<port id="0" precision="I32">
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<dim>1</dim>
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</port>
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</output>
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</layer>
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<layer id="6" name="Constant_2718653" type="Const" version="opset1">
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<data element_type="i32" shape="1" offset="3365002" size="4" />
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<output>
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<port id="0" precision="I32">
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<dim>1</dim>
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</port>
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</output>
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</layer>
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<layer id="7" name="Constant_2718655" type="Const" version="opset1">
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<data element_type="i32" shape="1" offset="3365006" size="4" />
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<output>
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<port id="0" precision="I32">
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<dim>1</dim>
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</port>
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</output>
|
86 |
+
</layer>
|
87 |
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<layer id="8" name="Constant_2718658" type="Const" version="opset1">
|
88 |
+
<data element_type="i64" shape="1" offset="3365010" size="8" />
|
89 |
+
<output>
|
90 |
+
<port id="0" precision="I64">
|
91 |
+
<dim>1</dim>
|
92 |
+
</port>
|
93 |
+
</output>
|
94 |
+
</layer>
|
95 |
+
<layer id="9" name="Slice_2718657" type="Slice" version="opset8">
|
96 |
+
<input>
|
97 |
+
<port id="0" precision="I32">
|
98 |
+
<dim>9</dim>
|
99 |
+
</port>
|
100 |
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<port id="1" precision="I32">
|
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<dim>1</dim>
|
102 |
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</port>
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<port id="2" precision="I32">
|
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<dim>1</dim>
|
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</port>
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<port id="3" precision="I32">
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<dim>1</dim>
|
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</port>
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<port id="4" precision="I64">
|
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+
<dim>1</dim>
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</port>
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</input>
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<output>
|
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+
<port id="5" precision="I32">
|
115 |
+
<dim>9</dim>
|
116 |
+
</port>
|
117 |
+
</output>
|
118 |
+
</layer>
|
119 |
+
<layer id="10" name="VocabDecoder_2718659" type="VocabDecoder" version="extension">
|
120 |
+
<data skip_tokens="" />
|
121 |
+
<input>
|
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+
<port id="0" precision="I32">
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</port>
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</port>
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131 |
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|
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|
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|
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+
</port>
|
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<output>
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|
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|
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|
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|
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<port id="7" precision="I32">
|
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|
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</port>
|
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+
<port id="8" precision="I32">
|
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|
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+
</port>
|
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<port id="9" precision="U8">
|
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<dim>-1</dim>
|
154 |
+
</port>
|
155 |
+
</output>
|
156 |
+
</layer>
|
157 |
+
<layer id="11" name="Constant_2718661" type="Const" version="opset1">
|
158 |
+
<data element_type="u8" shape="3" offset="3365018" size="3" />
|
159 |
+
<output>
|
160 |
+
<port id="0" precision="U8">
|
161 |
+
<dim>3</dim>
|
162 |
+
</port>
|
163 |
+
</output>
|
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</layer>
|
165 |
+
<layer id="12" name="Constant_2718663" type="Const" version="opset1">
|
166 |
+
<data element_type="u8" shape="1" offset="3365021" size="1" />
|
167 |
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<output>
|
168 |
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<port id="0" precision="U8">
|
169 |
+
<dim>1</dim>
|
170 |
+
</port>
|
171 |
+
</output>
|
172 |
+
</layer>
|
173 |
+
<layer id="13" name="RegexNormalization_2718664" type="RegexNormalization" version="extension">
|
174 |
+
<data global_replace="true" />
|
175 |
+
<input>
|
176 |
+
<port id="0" precision="I32">
|
177 |
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<dim>-1</dim>
|
178 |
+
</port>
|
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<port id="1" precision="I32">
|
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<dim>-1</dim>
|
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+
</port>
|
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<port id="2" precision="U8">
|
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+
<dim>-1</dim>
|
184 |
+
</port>
|
185 |
+
<port id="3" precision="U8">
|
186 |
+
<dim>3</dim>
|
187 |
+
</port>
|
188 |
+
<port id="4" precision="U8">
|
189 |
+
<dim>1</dim>
|
190 |
+
</port>
|
191 |
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</input>
|
192 |
+
<output>
|
193 |
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<port id="5" precision="I32">
|
194 |
+
<dim>-1</dim>
|
195 |
+
</port>
|
196 |
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<port id="6" precision="I32">
|
197 |
+
<dim>-1</dim>
|
198 |
+
</port>
|
199 |
+
<port id="7" precision="U8">
|
200 |
+
<dim>-1</dim>
|
201 |
+
</port>
|
202 |
+
</output>
|
203 |
+
</layer>
|
204 |
+
<layer id="14" name="ByteFallback_2718665" type="ByteFallback" version="extension">
|
205 |
+
<input>
|
206 |
+
<port id="0" precision="I32">
|
207 |
+
<dim>-1</dim>
|
208 |
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</port>
|
209 |
+
<port id="1" precision="I32">
|
210 |
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|
211 |
+
</port>
|
212 |
+
<port id="2" precision="U8">
|
213 |
+
<dim>-1</dim>
|
214 |
+
</port>
|
215 |
+
</input>
|
216 |
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<output>
|
217 |
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<port id="3" precision="I32">
|
218 |
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<dim>-1</dim>
|
219 |
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</port>
|
220 |
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<port id="4" precision="I32">
|
221 |
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<dim>-1</dim>
|
222 |
+
</port>
|
223 |
+
<port id="5" precision="U8">
|
224 |
+
<dim>-1</dim>
|
225 |
+
</port>
|
226 |
+
</output>
|
227 |
+
</layer>
|
228 |
+
<layer id="15" name="FuzeRagged_2718666" type="FuzeRagged" version="extension">
|
229 |
+
<input>
|
230 |
+
<port id="0" precision="I32">
|
231 |
+
<dim>-1</dim>
|
232 |
+
</port>
|
233 |
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<port id="1" precision="I32">
|
234 |
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|
235 |
+
</port>
|
236 |
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<port id="2" precision="I32">
|
237 |
+
<dim>-1</dim>
|
238 |
+
</port>
|
239 |
+
<port id="3" precision="I32">
|
240 |
+
<dim>-1</dim>
|
241 |
+
</port>
|
242 |
+
</input>
|
243 |
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<output>
|
244 |
+
<port id="4" precision="I32">
|
245 |
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|
246 |
+
</port>
|
247 |
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<port id="5" precision="I32">
|
248 |
+
<dim>-1</dim>
|
249 |
+
</port>
|
250 |
+
</output>
|
251 |
+
</layer>
|
252 |
+
<layer id="16" name="UTF8Validate_2718667" type="UTF8Validate" version="extension">
|
253 |
+
<data replace_mode="true" />
|
254 |
+
<input>
|
255 |
+
<port id="0" precision="I32">
|
256 |
+
<dim>-1</dim>
|
257 |
+
</port>
|
258 |
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<port id="1" precision="I32">
|
259 |
+
<dim>-1</dim>
|
260 |
+
</port>
|
261 |
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<port id="2" precision="U8">
|
262 |
+
<dim>-1</dim>
|
263 |
+
</port>
|
264 |
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|
265 |
+
<output>
|
266 |
+
<port id="3" precision="I32">
|
267 |
+
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|
268 |
+
</port>
|
269 |
+
<port id="4" precision="I32">
|
270 |
+
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|
271 |
+
</port>
|
272 |
+
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|
273 |
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|
274 |
+
</port>
|
275 |
+
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|
276 |
+
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|
277 |
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<layer id="17" name="StringTensorPack_2718668" type="StringTensorPack" version="extension">
|
278 |
+
<data mode="begins_ends" />
|
279 |
+
<input>
|
280 |
+
<port id="0" precision="I32">
|
281 |
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<dim>-1</dim>
|
282 |
+
</port>
|
283 |
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<port id="1" precision="I32">
|
284 |
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|
285 |
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|
286 |
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|
287 |
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|
288 |
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|
289 |
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</input>
|
290 |
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<output>
|
291 |
+
<port id="3" precision="STRING" names="string_output">
|
292 |
+
<dim>-1</dim>
|
293 |
+
</port>
|
294 |
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</output>
|
295 |
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|
296 |
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<layer id="18" name="Result_2718669" type="Result" version="opset1">
|
297 |
+
<input>
|
298 |
+
<port id="0" precision="STRING">
|
299 |
+
<dim>-1</dim>
|
300 |
+
</port>
|
301 |
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</input>
|
302 |
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</layer>
|
303 |
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</layers>
|
304 |
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<edges>
|
305 |
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<edge from-layer="0" from-port="0" to-layer="1" to-port="0" />
|
306 |
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<edge from-layer="1" from-port="1" to-layer="10" to-port="0" />
|
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<edge from-layer="2" from-port="0" to-layer="3" to-port="0" />
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
335 |
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<edge from-layer="17" from-port="3" to-layer="18" to-port="0" />
|
336 |
+
</edges>
|
337 |
+
<rt_info>
|
338 |
+
<add_attention_mask value="True" />
|
339 |
+
<add_prefix_space />
|
340 |
+
<add_special_tokens value="True" />
|
341 |
+
<bos_token_id value="2" />
|
342 |
+
<chat_template value="{{ bos_token }} {%- if messages[0]['role'] == 'system' -%} {%- if messages[0]['content'] is string -%} {%- set first_user_prefix = messages[0]['content'] + ' ' -%} {%- else -%} {%- set first_user_prefix = messages[0]['content'][0]['text'] + ' ' -%} {%- endif -%} {%- set loop_messages = messages[1:] -%} {%- else -%} {%- set first_user_prefix = "" -%} {%- set loop_messages = messages -%} {%- endif -%} {%- for message in loop_messages -%} {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%} {{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }} {%- endif -%} {%- if (message['role'] == 'assistant') -%} {%- set role = "model" -%} {%- else -%} {%- set role = message['role'] -%} {%- endif -%} {{ '<start_of_turn>' + role + ' ' + (first_user_prefix if loop.first else "") }} {%- if message['content'] is string -%} {{ message['content'] | trim }} {%- elif message['content'] is iterable -%} {%- for item in message['content'] -%} {%- if item['type'] == 'image' -%} {{ '<start_of_image>' }} {%- elif item['type'] == 'text' -%} {{ item['text'] | trim }} {%- endif -%} {%- endfor -%} {%- else -%} {{ raise_exception("Invalid content type") }} {%- endif -%} {{ '<end_of_turn> ' }} {%- endfor -%} {%- if add_generation_prompt -%} {{'<start_of_turn>model '}} {%- endif -%} " />
|
343 |
+
<clean_up_tokenization_spaces />
|
344 |
+
<detokenizer_input_type value="i64" />
|
345 |
+
<eos_token_id value="1" />
|
346 |
+
<handle_special_tokens_with_re />
|
347 |
+
<number_of_inputs value="1" />
|
348 |
+
<openvino_tokenizers_version value="2025.0.0.0" />
|
349 |
+
<openvino_version value="2025.0.0" />
|
350 |
+
<original_tokenizer_class value="<class 'transformers.models.gemma.tokenization_gemma_fast.GemmaTokenizerFast'>" />
|
351 |
+
<pad_token_id value="0" />
|
352 |
+
<sentencepiece_version value="0.2.0" />
|
353 |
+
<skip_special_tokens value="True" />
|
354 |
+
<streaming_detokenizer value="False" />
|
355 |
+
<tiktoken_version value="0.7.0" />
|
356 |
+
<tokenizer_output_type value="i64" />
|
357 |
+
<tokenizers_version value="0.21.1" />
|
358 |
+
<transformers_version value="4.50.2" />
|
359 |
+
<use_max_padding value="False" />
|
360 |
+
<use_sentencepiece_backend value="False" />
|
361 |
+
<utf8_replace_mode value="replace" />
|
362 |
+
<with_detokenizer value="True" />
|
363 |
+
</rt_info>
|
364 |
+
</net>
|
openvino_language_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d44ecfd0c308f98f18f19363c73e73af646df05008c5600c10e660c200ecbded
|
3 |
+
size 11775828438
|
openvino_language_model.xml
ADDED
The diff for this file is too large to render.
See raw diff
|
|
openvino_text_embeddings_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d56e1b338ac6ecd8339c867032a07b6559717aabdaf3c1278a4ee6fc2003f9de
|
3 |
+
size 1007403144
|
openvino_text_embeddings_model.xml
ADDED
@@ -0,0 +1,207 @@
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
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|
|
|
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|
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|
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|
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|
|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
1 |
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<?xml version="1.0"?>
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160 |
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163 |
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187 |
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188 |
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189 |
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190 |
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191 |
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192 |
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196 |
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197 |
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198 |
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199 |
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201 |
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203 |
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|
205 |
+
</optimum>
|
206 |
+
</rt_info>
|
207 |
+
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|
openvino_tokenizer.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:5abb96c6a6d10be7fa0849ff8b3b416e555cc48c7a2041b6572c52491f932162
|
3 |
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size 12340138
|
openvino_tokenizer.xml
ADDED
@@ -0,0 +1,837 @@
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|
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|
|
|
|
|
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|
|
|
|
|
|
|
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|
1 |
+
<?xml version="1.0"?>
|
2 |
+
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|
3 |
+
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|
4 |
+
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5 |
+
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6 |
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8 |
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9 |
+
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10 |
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11 |
+
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12 |
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13 |
+
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14 |
+
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15 |
+
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16 |
+
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17 |
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18 |
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19 |
+
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|
20 |
+
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21 |
+
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22 |
+
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23 |
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24 |
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|
25 |
+
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|
26 |
+
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27 |
+
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|
28 |
+
<dim>1</dim>
|
29 |
+
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|
30 |
+
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|
31 |
+
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|
32 |
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33 |
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34 |
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35 |
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36 |
+
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37 |
+
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|
38 |
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39 |
+
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|
40 |
+
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|
41 |
+
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|
42 |
+
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43 |
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44 |
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45 |
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46 |
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47 |
+
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48 |
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49 |
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50 |
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51 |
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52 |
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53 |
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54 |
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55 |
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56 |
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|
57 |
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58 |
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59 |
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60 |
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61 |
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62 |
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63 |
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64 |
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65 |
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66 |
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67 |
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68 |
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69 |
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70 |
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71 |
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72 |
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73 |
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74 |
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75 |
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76 |
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78 |
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79 |
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80 |
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81 |
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82 |
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83 |
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84 |
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85 |
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86 |
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87 |
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88 |
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89 |
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90 |
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91 |
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92 |
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93 |
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94 |
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95 |
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96 |
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97 |
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98 |
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99 |
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100 |
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101 |
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102 |
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103 |
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104 |
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105 |
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106 |
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107 |
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108 |
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109 |
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110 |
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111 |
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112 |
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|
113 |
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|
114 |
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115 |
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116 |
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117 |
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118 |
+
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119 |
+
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|
120 |
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|
121 |
+
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122 |
+
<output>
|
123 |
+
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|
124 |
+
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|
125 |
+
</layer>
|
126 |
+
<layer id="14" name="Add_2718544" type="Add" version="opset1">
|
127 |
+
<data auto_broadcast="numpy" />
|
128 |
+
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|
129 |
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|
130 |
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|
131 |
+
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|
132 |
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|
133 |
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134 |
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|
135 |
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|
136 |
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|
137 |
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|
138 |
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|
139 |
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|
140 |
+
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|
141 |
+
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|
142 |
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|
143 |
+
<data output_type="i32" />
|
144 |
+
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|
145 |
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146 |
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|
147 |
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148 |
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149 |
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|
150 |
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|
151 |
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|
152 |
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|
153 |
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|
154 |
+
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|
155 |
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|
156 |
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157 |
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158 |
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159 |
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|
160 |
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|
161 |
+
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|
162 |
+
</layer>
|
163 |
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<layer id="18" name="SpecialTokensSplit_2718609" type="SpecialTokensSplit" version="extension">
|
164 |
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|
165 |
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|
166 |
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167 |
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168 |
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169 |
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170 |
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171 |
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172 |
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173 |
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174 |
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175 |
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176 |
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177 |
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178 |
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179 |
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180 |
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181 |
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182 |
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183 |
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184 |
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185 |
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186 |
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187 |
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188 |
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189 |
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190 |
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191 |
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192 |
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193 |
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194 |
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195 |
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196 |
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197 |
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198 |
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|
199 |
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200 |
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|
201 |
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|
202 |
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|
203 |
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|
204 |
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|
205 |
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|
206 |
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207 |
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208 |
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209 |
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210 |
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|
211 |
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|
212 |
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|
213 |
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214 |
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215 |
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216 |
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217 |
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|
218 |
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|
219 |
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|
220 |
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|
221 |
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|
222 |
+
<data global_replace="true" />
|
223 |
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224 |
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225 |
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226 |
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231 |
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233 |
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240 |
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241 |
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242 |
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243 |
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|
244 |
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255 |
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|
256 |
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|
257 |
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|
258 |
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|
259 |
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260 |
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261 |
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262 |
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|
263 |
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|
264 |
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|
265 |
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|
266 |
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|
267 |
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|
268 |
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269 |
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270 |
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285 |
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286 |
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288 |
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289 |
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290 |
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291 |
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293 |
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294 |
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296 |
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299 |
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308 |
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311 |
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312 |
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313 |
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319 |
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<edge from-layer="48" from-port="1" to-layer="49" to-port="0" />
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</edges>
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<rt_info>
|
811 |
+
<add_attention_mask value="True" />
|
812 |
+
<add_prefix_space />
|
813 |
+
<add_special_tokens value="True" />
|
814 |
+
<bos_token_id value="2" />
|
815 |
+
<chat_template value="{{ bos_token }} {%- if messages[0]['role'] == 'system' -%} {%- if messages[0]['content'] is string -%} {%- set first_user_prefix = messages[0]['content'] + ' ' -%} {%- else -%} {%- set first_user_prefix = messages[0]['content'][0]['text'] + ' ' -%} {%- endif -%} {%- set loop_messages = messages[1:] -%} {%- else -%} {%- set first_user_prefix = "" -%} {%- set loop_messages = messages -%} {%- endif -%} {%- for message in loop_messages -%} {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%} {{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }} {%- endif -%} {%- if (message['role'] == 'assistant') -%} {%- set role = "model" -%} {%- else -%} {%- set role = message['role'] -%} {%- endif -%} {{ '<start_of_turn>' + role + ' ' + (first_user_prefix if loop.first else "") }} {%- if message['content'] is string -%} {{ message['content'] | trim }} {%- elif message['content'] is iterable -%} {%- for item in message['content'] -%} {%- if item['type'] == 'image' -%} {{ '<start_of_image>' }} {%- elif item['type'] == 'text' -%} {{ item['text'] | trim }} {%- endif -%} {%- endfor -%} {%- else -%} {{ raise_exception("Invalid content type") }} {%- endif -%} {{ '<end_of_turn> ' }} {%- endfor -%} {%- if add_generation_prompt -%} {{'<start_of_turn>model '}} {%- endif -%} " />
|
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<clean_up_tokenization_spaces />
|
817 |
+
<detokenizer_input_type value="i64" />
|
818 |
+
<eos_token_id value="1" />
|
819 |
+
<handle_special_tokens_with_re />
|
820 |
+
<number_of_inputs value="1" />
|
821 |
+
<openvino_tokenizers_version value="2025.0.0.0" />
|
822 |
+
<openvino_version value="2025.0.0" />
|
823 |
+
<original_tokenizer_class value="<class 'transformers.models.gemma.tokenization_gemma_fast.GemmaTokenizerFast'>" />
|
824 |
+
<pad_token_id value="0" />
|
825 |
+
<sentencepiece_version value="0.2.0" />
|
826 |
+
<skip_special_tokens value="True" />
|
827 |
+
<streaming_detokenizer value="False" />
|
828 |
+
<tiktoken_version value="0.7.0" />
|
829 |
+
<tokenizer_output_type value="i64" />
|
830 |
+
<tokenizers_version value="0.21.1" />
|
831 |
+
<transformers_version value="4.50.2" />
|
832 |
+
<use_max_padding value="False" />
|
833 |
+
<use_sentencepiece_backend value="False" />
|
834 |
+
<utf8_replace_mode value="replace" />
|
835 |
+
<with_detokenizer value="True" />
|
836 |
+
</rt_info>
|
837 |
+
</net>
|
openvino_vision_embeddings_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:64606538736c69645e6b42d4945fc57cef15ad42756db5b947516002441158a5
|
3 |
+
size 427238272
|
openvino_vision_embeddings_model.xml
ADDED
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|
preprocessor_config.json
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_convert_rgb": null,
|
3 |
+
"do_normalize": true,
|
4 |
+
"do_pan_and_scan": null,
|
5 |
+
"do_rescale": true,
|
6 |
+
"do_resize": true,
|
7 |
+
"image_mean": [
|
8 |
+
0.5,
|
9 |
+
0.5,
|
10 |
+
0.5
|
11 |
+
],
|
12 |
+
"image_processor_type": "Gemma3ImageProcessor",
|
13 |
+
"image_seq_length": 256,
|
14 |
+
"image_std": [
|
15 |
+
0.5,
|
16 |
+
0.5,
|
17 |
+
0.5
|
18 |
+
],
|
19 |
+
"pan_and_scan_max_num_crops": null,
|
20 |
+
"pan_and_scan_min_crop_size": null,
|
21 |
+
"pan_and_scan_min_ratio_to_activate": null,
|
22 |
+
"processor_class": "Gemma3Processor",
|
23 |
+
"resample": 2,
|
24 |
+
"rescale_factor": 0.00392156862745098,
|
25 |
+
"size": {
|
26 |
+
"height": 896,
|
27 |
+
"width": 896
|
28 |
+
}
|
29 |
+
}
|
processor_config.json
ADDED
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"image_seq_length": 256,
|
3 |
+
"processor_class": "Gemma3Processor"
|
4 |
+
}
|
special_tokens_map.json
ADDED
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"boi_token": "<start_of_image>",
|
3 |
+
"bos_token": {
|
4 |
+
"content": "<bos>",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false
|
9 |
+
},
|
10 |
+
"eoi_token": "<end_of_image>",
|
11 |
+
"eos_token": {
|
12 |
+
"content": "<eos>",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false
|
17 |
+
},
|
18 |
+
"image_token": "<image_soft_token>",
|
19 |
+
"pad_token": {
|
20 |
+
"content": "<pad>",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false
|
25 |
+
},
|
26 |
+
"unk_token": {
|
27 |
+
"content": "<unk>",
|
28 |
+
"lstrip": false,
|
29 |
+
"normalized": false,
|
30 |
+
"rstrip": false,
|
31 |
+
"single_word": false
|
32 |
+
}
|
33 |
+
}
|
tokenizer.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4667f2089529e8e7657cfb6d1c19910ae71ff5f28aa7ab2ff2763330affad795
|
3 |
+
size 33384568
|
tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1299c11d7cf632ef3b4e11937501358ada021bbdf7c47638d13c0ee982f2e79c
|
3 |
+
size 4689074
|
tokenizer_config.json
ADDED
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|
|