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  1. config.json +81 -0
  2. pytorch_model.bin +3 -0
config.json ADDED
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+ {
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+ "_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
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+ "architectures": [
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+ "LlavaLlamaForCausalLM"
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+ "hidden_act": "silu",
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+ "max_position_embeddings": 32768,
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+ "mm_hidden_size": 1024,
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+ "mm_patch_merge_type": "spatial_unpad",
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+ "mm_projector_lr": null,
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+ "mm_projector_type": "mlp2x_gelu",
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+ "mm_resampler_type": null,
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+ "mm_use_im_patch_token": false,
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+ "mm_use_im_start_end": false,
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+ "mm_vision_select_feature": "patch",
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+ "mm_vision_select_layer": -2,
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+ "mm_vision_tower": "openai/clip-vit-large-patch14-336",
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+ "mm_vision_tower_lr": 2e-06,
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+ "model_type": "llava",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 8,
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 1000000.0,
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+ "sliding_window": null,
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+ "tie_word_embeddings": false,
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+ "tokenizer_model_max_length": 4096,
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+ "tokenizer_padding_side": "left",
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.36.2",
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+ "tune_mm_mlp_adapter": false,
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+ "tune_mm_vision_resampler": false,
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+ "unfreeze_mm_vision_tower": true,
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+ "use_cache": true,
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+ "use_mm_proj": true,
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+ "vocab_size": 32000,
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+ "quantization_config": {
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+ "bits": 4,
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+ "group_size": 128,
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+ "damp_percent": 0.1,
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+ "desc_act": true,
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+ "sym": true,
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+ "true_sequential": true,
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+ "model_name_or_path": null,
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+ "model_file_base_name": "model",
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+ "quant_method": "gptq"
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+ }
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+ }
pytorch_model.bin ADDED
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