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{
"_name_or_path": "LanguageBind/Video-LLaVA-7B",
"architectures": [
"LlavaLlamaForCausalLM"
],
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"mm_image_tower": "LanguageBind/LanguageBind_Image",
"mm_projector_type": "mlp2x_gelu",
"mm_use_im_patch_token": false,
"mm_use_im_start_end": false,
"mm_video_tower": "LanguageBind/LanguageBind_Video_merge",
"mm_vision_select_feature": "patch",
"mm_vision_select_layer": -2,
"model_type": "llava",
"num_attention_heads": 32,
"num_hidden_layers": 32,
"num_key_value_heads": 32,
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"pretraining_tp": 1,
"quantization_config": {
"bits": 2,
"damp_percent": 0.1,
"dataset": [
"auto-gptq is an easy-to-use model quantization library with user-friendly apis, based on GPTQ algorithm."
],
"desc_act": false,
"group_size": 128,
"modules_in_block_to_quantize": null,
"quant_method": "gptq",
"sym": true,
"true_sequential": true
},
"rms_norm_eps": 1e-05,
"rope_scaling": null,
"rope_theta": 10000.0,
"tie_word_embeddings": false,
"torch_dtype": "float16",
"transformers_version": "4.33.0",
"tune_mm_mlp_adapter": false,
"use_cache": true,
"use_mm_proj": true,
"vocab_size": 32000
}
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