config.json

{
  "_name_or_path": "/data/vicuna/vicuna-7b-v1.5",
  "architectures": [
    "MoDLLaVALlamaForCausalLM"
  ],
  "bos_token_id": 1,
  "delay_load": false,
  "eos_token_id": 2,
  "freeze_mm_mlp_adapter": false,
  "freeze_vision": false,
  "hidden_act": "silu",
  "hidden_size": 4096,
  "image_aspect_ratio": "pad",
  "image_grid_pinpoints": null,
  "initializer_range": 0.02,
  "input_image_size": 1024,
  "intermediate_size": 11008,
  "is_multipath_encoder": true,
  "max_position_embeddings": 4096,
  "mm_hidden_size": 1024,
  "mm_projector_type": "mlp2x_gelu",
  "mm_use_im_patch_token": false,
  "mm_use_im_start_end": false,
  "mm_vision_select_feature": "patch",
  "mm_vision_select_layer": -2,
  "mm_vision_tower": "openai/clip-vit-large-patch14-336",
  "mod": {
    "capacity_factor": 0.5,
    "mod_enable": true,
    "mod_layers_idx": [
      3,
      4,
      5,
      6,
      7,
      8,
      9,
      10,
      11,
      12,
      13,
      14,
      15,
      16,
      17,
      18,
      19,
      20,
      21,
      22,
      23,
      24,
      25,
      26,
      27,
      28,
      29,
      30
    ],
    "mod_mode": "exclude_1_2_3_last",
    "router_aux_loss_coef": 0.01
  },
  "model_type": "mod_llava_llama",
  "num_attention_heads": 32,
  "num_hidden_layers": 32,
  "num_key_value_heads": 32,
  "pad_token_id": 0,
  "pretraining_tp": 1,
  "rms_norm_eps": 1e-05,
  "rope_scaling": null,
  "tie_word_embeddings": false,
  "torch_dtype": "bfloat16",
  "transformers_version": "4.31.0",
  "tune_mm_mlp_adapter": false,
  "use_cache": true,
  "use_mm_proj": true,
  "vision_tower_slow": "convnext_large_mlp.clip_laion2b_ft_320",
  "vocab_size": 32000
}