config.json

{
  "architectures": [
    "LlavaNextForConditionalGeneration"
  ],
  "image_grid_pinpoints": [
    [
      384,
      384
    ],
    [
      384,
      768
    ],
    [
      768,
      384
    ],
    [
      384,
      1152
    ],
    [
      1152,
      384
    ],
    [
      384,
      1536
    ],
    [
      768,
      768
    ],
    [
      1536,
      384
    ],
    [
      384,
      1920
    ],
    [
      1920,
      384
    ],
    [
      384,
      2304
    ],
    [
      768,
      1152
    ],
    [
      1152,
      768
    ],
    [
      2304,
      384
    ]
  ],
  "image_seq_length": 576,
  "image_token_index": 128000,
  "model_type": "llava_next",
  "multimodal_projector_bias": true,
  "projector_hidden_act": "gelu",
  "text_config": {
    "_name_or_path": "/mnt/scratch-artemis/miguelramos/LC-EuroLLM/HF_MODELS/EuroLLM-9B-Legacy-32k/",
    "architectures": [
      "LlamaForCausalLM"
    ],
    "attention_bias": false,
    "attention_dropout": 0.0,
    "head_dim": 128,
    "hidden_act": "silu",
    "hidden_size": 4096,
    "initializer_range": 0.02,
    "intermediate_size": 12288,
    "max_position_embeddings": 32768,
    "mlp_bias": false,
    "model_type": "llama",
    "num_attention_heads": 32,
    "num_hidden_layers": 42,
    "num_key_value_heads": 8,
    "pretraining_tp": 1,
    "rms_norm_eps": 1e-05,
    "rope_scaling": null,
    "rope_theta": 1000000,
    "torch_dtype": "bfloat16",
    "use_cache": true,
    "vocab_size": 128001
  },
  "tie_word_embeddings": false,
  "torch_dtype": "float16",
  "transformers_version": "4.52.0.dev0",
  "use_image_newline_parameter": true,
  "vision_config": {
    "attention_dropout": 0.0,
    "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": 26,
    "patch_size": 14,
    "vision_use_head": false
  },
  "vision_feature_layer": -1,
  "vision_feature_select_strategy": "full"
}