config.json

{
  "_name_or_path": "MILVLG/Imp-v1-3b",
  "activation_function": "gelu_new",
  "architectures": [
    "ImpForCausalLM"
  ],
  "attn_pdrop": 0.0,
  "auto_map": {
    "AutoConfig": "configuration_imp.ImpConfig",
    "AutoModelForCausalLM": "modeling_imp.ImpForCausalLM"
  },
  "embd_pdrop": 0.0,
  "eos_token_id": 50295,
  "freeze_mm_mlp_adapter": false,
  "image_aspect_ratio": "square",
  "image_token": "<image>",
  "image_token_index": 50296,
  "img_processor": null,
  "initializer_range": 0.02,
  "mm_hidden_size": 1152,
  "mm_projector_lr": 2e-05,
  "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": "google/siglip-so400m-patch14-384",
  "model_type": "imp",
  "pad_token_id": 50256,
  "resid_pdrop": 0.1,
  "tie_word_embeddings": false,
  "tokenizer_model_max_length": 3072,
  "tokenizer_padding_side": "right",
  "torch_dtype": "float16",
  "transformers_version": "4.39.2",
  "use_cache": true,
  "use_mm_proj": true,
  "vision_tower_config": {
    "attention_dropout": 0.0,
    "attn_implementation": null,
    "hidden_act": "gelu_pytorch_tanh",
    "hidden_size": 1152,
    "image_size": 384,
    "intermediate_size": 4304,
    "layer_norm_eps": 1e-06,
    "model_type": "siglip_vision_model",
    "num_attention_heads": 16,
    "num_channels": 3,
    "num_hidden_layers": 27,
    "patch_size": 14
  },
  "vocab_size": 51200,
  "attention_dropout": 0.0,
  "hidden_act": "gelu_new",
  "hidden_size": 2560,
  "intermediate_size": 10240,
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 3072,
  "num_attention_heads": 32,
  "num_hidden_layers": 32,
  "num_key_value_heads": 32,
  "partial_rotary_factor": 0.4,
  "qk_layernorm": false,
  "rope_scaling": null,
  "rope_theta": 10000.0
}