config.json

{
  "architectures": [
    "Gemma3ForConditionalGeneration"
  ],
  "boi_token_index": 255999,
  "bos_token_id": 2,
  "eoi_token_index": 256000,
  "eos_token_id": 1,
  "image_token_index": 262144,
  "initializer_range": 0.02,
  "mm_tokens_per_image": 256,
  "model_type": "gemma3",
  "pad_token_id": 0,
  "quantization_config": {
    "_load_in_4bit": true,
    "_load_in_8bit": false,
    "bnb_4bit_compute_dtype": "bfloat16",
    "bnb_4bit_quant_storage": "uint8",
    "bnb_4bit_quant_type": "nf4",
    "bnb_4bit_use_double_quant": true,
    "llm_int8_enable_fp32_cpu_offload": false,
    "llm_int8_has_fp16_weight": false,
    "llm_int8_skip_modules": [
      "lm_head",
      "multi_modal_projector",
      "merger",
      "modality_projection",
      "lm_head",
      "multi_modal_projector",
      "merger",
      "modality_projection",
      "language_model.model.layers.14.mlp",
      "language_model.model.layers.15.self_attn",
      "language_model.model.layers.2.mlp",
      "language_model.model.layers.18.self_attn",
      "language_model.model.layers.15.mlp",
      "language_model.model.layers.20.self_attn",
      "language_model.model.layers.11.mlp",
      "language_model.model.layers.4.mlp",
      "language_model.model.layers.0.mlp",
      "language_model.model.layers.17.self_attn",
      "language_model.model.layers.9.mlp",
      "language_model.model.layers.10.mlp",
      "language_model.model.layers.2.self_attn",
      "language_model.model.layers.20.mlp",
      "language_model.model.layers.16.mlp",
      "vision_tower.vision_model.encoder.layers.22.self_attn",
      "vision_tower.vision_model.encoder.layers.21.self_attn",
      "language_model.model.layers.8.mlp",
      "language_model.model.layers.1.mlp",
      "vision_tower.vision_model.encoder.layers.24.self_attn",
      "vision_tower.vision_model.encoder.layers.19.self_attn",
      "language_model.model.layers.7.mlp",
      "vision_tower.vision_model.encoder.layers.17.mlp",
      "vision_tower.vision_model.encoder.layers.15.mlp",
      "vision_tower.vision_model.encoder.layers.17.self_attn",
      "language_model.model.layers.6.mlp",
      "language_model.model.layers.3.mlp",
      "vision_tower.vision_model.encoder.layers.12.mlp",
      "vision_tower.vision_model.encoder.layers.26.self_attn",
      "language_model.model.layers.5.mlp",
      "vision_tower.vision_model.encoder.layers.24.mlp",
      "vision_tower.vision_model.encoder.layers.23.self_attn",
      "vision_tower.vision_model.encoder.layers.20.mlp",
      "vision_tower.vision_model.encoder.layers.25.self_attn",
      "vision_tower.vision_model.encoder.layers.20.self_attn",
      "vision_tower.vision_model.encoder.layers.19.mlp",
      "vision_tower.vision_model.encoder.layers.14.mlp",
      "vision_tower.vision_model.encoder.layers.18.self_attn",
      "vision_tower.vision_model.encoder.layers.16.self_attn",
      "vision_tower.vision_model.encoder.layers.10.mlp",
      "vision_tower.vision_model.encoder.layers.14.self_attn",
      "vision_tower.vision_model.encoder.layers.15.self_attn",
      "vision_tower.vision_model.encoder.layers.22.mlp",
      "vision_tower.vision_model.encoder.layers.13.self_attn",
      "vision_tower.vision_model.encoder.layers.13.mlp",
      "vision_tower.vision_model.encoder.layers.25.mlp",
      "vision_tower.vision_model.encoder.layers.23.mlp",
      "vision_tower.vision_model.encoder.layers.11.mlp",
      "vision_tower.vision_model.encoder.layers.21.mlp",
      "vision_tower.vision_model.encoder.layers.16.mlp",
      "vision_tower.vision_model.encoder.layers.9.self_attn",
      "vision_tower.vision_model.encoder.layers.12.self_attn",
      "vision_tower.vision_model.encoder.layers.18.mlp",
      "vision_tower.vision_model.encoder.layers.4.mlp",
      "vision_tower.vision_model.encoder.layers.7.mlp",
      "vision_tower.vision_model.encoder.layers.9.mlp",
      "vision_tower.vision_model.encoder.layers.11.self_attn",
      "vision_tower.vision_model.encoder.layers.2.mlp",
      "vision_tower.vision_model.encoder.layers.5.self_attn",
      "vision_tower.vision_model.encoder.layers.1.mlp",
      "vision_tower.vision_model.encoder.layers.10.self_attn",
      "vision_tower.vision_model.encoder.layers.8.mlp",
      "vision_tower.vision_model.encoder.layers.4.self_attn",
      "vision_tower.vision_model.encoder.layers.5.mlp",
      "vision_tower.vision_model.encoder.layers.7.self_attn",
      "vision_tower.vision_model.encoder.layers.6.mlp",
      "vision_tower.vision_model.encoder.layers.3.self_attn",
      "vision_tower.vision_model.encoder.layers.3.mlp",
      "vision_tower.vision_model.encoder.layers.1.self_attn",
      "vision_tower.vision_model.encoder.layers.8.self_attn",
      "vision_tower.vision_model.encoder.layers.6.self_attn",
      "vision_tower.vision_model.encoder.layers.26.mlp",
      "vision_tower.vision_model.encoder.layers.0.self_attn",
      "vision_tower.vision_model.encoder.layers.0.mlp",
      "vision_tower.vision_model.encoder.layers.2.self_attn"
    ],
    "llm_int8_threshold": 6.0,
    "load_in_4bit": true,
    "load_in_8bit": false,
    "quant_method": "bitsandbytes"
  },
  "text_config": {
    "attention_bias": false,
    "attention_dropout": 0.0,
    "attn_logit_softcapping": null,
    "cache_implementation": "hybrid",
    "final_logit_softcapping": null,
    "head_dim": 256,
    "hidden_activation": "gelu_pytorch_tanh",
    "hidden_size": 3840,
    "initializer_range": 0.02,
    "intermediate_size": 15360,
    "max_position_embeddings": 131072,
    "model_type": "gemma3_text",
    "num_attention_heads": 16,
    "num_hidden_layers": 48,
    "num_key_value_heads": 8,
    "query_pre_attn_scalar": 256,
    "rms_norm_eps": 1e-06,
    "rope_local_base_freq": 10000.0,
    "rope_scaling": {
      "factor": 8.0,
      "rope_type": "linear"
    },
    "rope_theta": 1000000.0,
    "sliding_window": 1024,
    "sliding_window_pattern": 6,
    "torch_dtype": "bfloat16",
    "use_cache": true,
    "vocab_size": 262208
  },
  "torch_dtype": "bfloat16",
  "transformers_version": "4.50.0.dev0",
  "unsloth_fixed": true,
  "vision_config": {
    "attention_dropout": 0.0,
    "hidden_act": "gelu_pytorch_tanh",
    "hidden_size": 1152,
    "image_size": 896,
    "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,
    "torch_dtype": "bfloat16",
    "vision_use_head": false
  }
}