config.json

{
  "architectures": [
    "LlavaNextForConditionalGeneration"
  ],
  "ignore_index": -100,
  "image_grid_pinpoints": [
    [
      768,
      384
    ],
    [
      384,
      768
    ],
    [
      768,
      768
    ],
    [
      384,
      1152
    ],
    [
      1152,
      384
    ]
  ],
  "image_seq_length": 576,
  "image_token_index": 32000,
  "model_type": "llava_next",
  "pad_token_id": 32001,
  "projector_hidden_act": "gelu",
  "text_config": {
    "_name_or_path": "vicuna-7b-v1.5",
    "architectures": [
      "LlamaForCausalLM"
    ],
    "max_position_embeddings": 4096,
    "model_type": "llama",
    "pad_token_id": 0,
    "rms_norm_eps": 1e-05,
    "torch_dtype": "bfloat16",
    "vocab_size": 32064
  },
  "tie_word_embeddings": false,
  "torch_dtype": "float32",
  "transformers_version": "4.45.2",
  "vision_config": {
    "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_hidden_layers": 27,
    "patch_size": 14,
    "torch_dtype": "bfloat16"
  },
  "vision_feature_layer": -2,
  "vision_feature_select_strategy": "full",
  "vocab_size": 32064
}