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Upload config

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  1. config.json +81 -0
config.json ADDED
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+ {
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+ "_name_or_path": "llava-hf/llava-v1.6-vicuna-13b-hf",
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+ "architectures": [
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+ "LlavaNextForConditionalGeneration"
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+ ],
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+ "ignore_index": -100,
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+ "image_grid_pinpoints": [
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+ [
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+ 336,
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+ 672
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+ ],
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+ [
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+ 672,
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+ 336
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+ ],
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+ [
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+ 672,
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+ 672
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+ ],
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+ [
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+ 1008,
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+ 336
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+ ],
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+ [
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+ 336,
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+ 1008
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+ ]
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+ ],
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+ "image_token_index": 32000,
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+ "model_type": "llava_next",
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+ "projector_hidden_act": "gelu",
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+ "quantization_config": {
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+ "backend": "autoawq",
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+ "bits": 4,
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+ "do_fuse": false,
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+ "exllama_config": null,
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+ "fuse_max_seq_len": null,
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+ "group_size": 128,
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+ "modules_to_fuse": null,
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+ "modules_to_not_convert": null,
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+ "quant_method": "awq",
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+ "version": "gemm",
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+ "zero_point": true
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+ },
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+ "text_config": {
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+ "_name_or_path": "lmsys/vicuna-13b-v1.5",
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ],
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+ "hidden_size": 5120,
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+ "intermediate_size": 13824,
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+ "max_length": 4096,
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+ "max_position_embeddings": 4096,
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+ "model_type": "llama",
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+ "num_attention_heads": 40,
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+ "num_hidden_layers": 40,
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+ "num_key_value_heads": 40,
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+ "pad_token_id": 0,
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+ "rms_norm_eps": 1e-05,
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+ "torch_dtype": "float16",
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+ "vocab_size": 32064
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+ },
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.41.1",
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+ "use_image_newline_parameter": true,
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+ "vision_config": {
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+ "hidden_size": 1024,
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+ "image_size": 336,
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+ "intermediate_size": 4096,
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+ "model_type": "clip_vision_model",
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+ "num_attention_heads": 16,
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+ "num_hidden_layers": 24,
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+ "patch_size": 14,
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+ "projection_dim": 768,
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+ "vocab_size": 32000
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+ },
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+ "vision_feature_layer": -2,
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+ "vision_feature_select_strategy": "default",
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+ "vocab_size": 32064
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+ }