config.json

{
  "architectures": [
    "Granite4VisionForConditionalGeneration"
  ],
  "auto_map": {
    "AutoConfig": "configuration.Granite4VisionConfig",
    "AutoModel": "modeling.Granite4VisionForConditionalGeneration",
    "AutoModelForVision2Seq": "modeling.Granite4VisionForConditionalGeneration",
    "AutoModelForImageTextToText": "modeling.Granite4VisionForConditionalGeneration",
    "AutoProcessor": "processing.Granite4VisionProcessor"
  },
  "downsample_method": "interpolate",
  "downsample_rate": null,
  "dtype": "bfloat16",
  "image_grid_pinpoints": [
    [
      384,
      384
    ],
    [
      384,
      768
    ],
    [
      384,
      1152
    ],
    [
      384,
      1536
    ],
    [
      384,
      1920
    ],
    [
      384,
      2304
    ],
    [
      384,
      2688
    ],
    [
      384,
      3072
    ],
    [
      384,
      3456
    ],
    [
      384,
      3840
    ],
    [
      768,
      384
    ],
    [
      768,
      768
    ],
    [
      768,
      1152
    ],
    [
      768,
      1536
    ],
    [
      768,
      1920
    ],
    [
      1152,
      384
    ],
    [
      1152,
      768
    ],
    [
      1152,
      1152
    ],
    [
      1536,
      384
    ],
    [
      1536,
      768
    ],
    [
      1920,
      384
    ],
    [
      1920,
      768
    ],
    [
      2304,
      384
    ],
    [
      2688,
      384
    ],
    [
      3072,
      384
    ],
    [
      3456,
      384
    ],
    [
      3840,
      384
    ]
  ],
  "image_seq_length": 576,
  "image_token_index": 100352,
  "model_type": "granite4_vision",
  "multimodal_projector_bias": true,
  "pretrained_language_model": "",
  "pretrained_vision_tower": "",
  "projector_hidden_act": "gelu",
  "text_config": {
    "_name_or_path": "ibm-granite/granite-4.0-micro",
    "architectures": [
      "GraniteMoeHybridForCausalLM"
    ],
    "attention_bias": false,
    "attention_dropout": 0.0,
    "attention_multiplier": 0.015625,
    "bos_token_id": 100257,
    "dtype": "bfloat16",
    "embedding_multiplier": 12,
    "eos_token_id": 100257,
    "hidden_act": "silu",
    "hidden_size": 2560,
    "initializer_range": 0.1,
    "intermediate_size": 8192,
    "layer_types": [
      "attention",
      "attention",
      "attention",
      "attention",
      "attention",
      "attention",
      "attention",
      "attention",
      "attention",
      "attention",
      "attention",
      "attention",
      "attention",
      "attention",
      "attention",
      "attention",
      "attention",
      "attention",
      "attention",
      "attention",
      "attention",
      "attention",
      "attention",
      "attention",
      "attention",
      "attention",
      "attention",
      "attention",
      "attention",
      "attention",
      "attention",
      "attention",
      "attention",
      "attention",
      "attention",
      "attention",
      "attention",
      "attention",
      "attention",
      "attention"
    ],
    "logits_scaling": 10,
    "mamba_chunk_size": 256,
    "mamba_conv_bias": true,
    "mamba_d_conv": 4,
    "mamba_d_head": 40,
    "mamba_d_state": 256,
    "mamba_expand": 2,
    "mamba_n_groups": 1,
    "mamba_n_heads": 128,
    "mamba_proj_bias": false,
    "max_position_embeddings": 131072,
    "model_type": "granitemoehybrid",
    "normalization_function": "rmsnorm",
    "num_attention_heads": 40,
    "num_experts_per_tok": 0,
    "num_hidden_layers": 40,
    "num_key_value_heads": 8,
    "num_local_experts": 0,
    "output_router_logits": false,
    "pad_token_id": 100256,
    "position_embedding_type": "rope",
    "residual_multiplier": 0.22,
    "rms_norm_eps": 1e-05,
    "rope_scaling": null,
    "rope_theta": 10000000,
    "router_aux_loss_coef": 0.01,
    "shared_intermediate_size": 8192,
    "tie_word_embeddings": true,
    "use_cache": false,
    "vocab_size": 100353
  },
  "tie_word_embeddings": true,
  "transformers_version": "4.57.3",
  "use_image_newline_parameter": true,
  "vision_config": {
    "attention_dropout": 0.0,
    "dtype": "bfloat16",
    "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
  },
  "vision_feature_layer": [
    -24,
    -20,
    -12,
    -1
  ],
  "vision_feature_select_strategy": "full"
}