config.json

{
    "architectures": [
        "Gemma3ForCausalLM"
    ],
    "attention_bias": false,
    "attention_dropout": 0.0,
    "attn_logit_softcapping": null,
    "bos_token_id": 2,
    "cache_implementation": "hybrid",
    "eos_token_id": 1,
    "final_logit_softcapping": 30.0,
    "head_dim": 128,
    "hidden_act": "gelu_pytorch_tanh",
    "hidden_activation": "gelu_pytorch_tanh",
    "hidden_size": 4096,
    "initializer_range": 0.02,
    "intermediate_size": 16384,
    "layer_type": [
        "full_attention",
        "full_attention",
        "full_attention",
        "full_attention",
        "full_attention",
        "full_attention",
        "full_attention",
        "full_attention",
        "full_attention",
        "full_attention",
        "full_attention",
        "full_attention",
        "full_attention",
        "full_attention",
        "full_attention",
        "full_attention",
        "full_attention",
        "full_attention",
        "full_attention",
        "full_attention",
        "full_attention",
        "full_attention",
        "full_attention",
        "full_attention",
        "full_attention",
        "full_attention",
        "full_attention",
        "full_attention",
        "full_attention",
        "full_attention",
        "full_attention",
        "full_attention"
    ],
    "max_position_embeddings": 32768,
    "model_type": "gemma3_text",
    "num_attention_heads": 32,
    "num_hidden_layers": 32,
    "num_key_value_heads": 8,
    "pad_token_id": 0,
    "quantization": {
        "group_size": 64,
        "bits": 8,
        "mode": "affine"
    },
    "quantization_config": {
        "group_size": 64,
        "bits": 8,
        "mode": "affine"
    },
    "query_pre_attn_scalar": 128,
    "rms_norm_eps": 1e-06,
    "rope_local_base_freq": 10000,
    "rope_scaling": {
        "attn_factor": 1.0,
        "beta_fast": 64.0,
        "beta_slow": 1.0,
        "extrapolation_factor": 1.0,
        "factor": 4.0,
        "original_max_position_embeddings": 8192,
        "rope_type": "yarn"
    },
    "rope_theta": 10000,
    "sliding_window": 32768,
    "sliding_window_pattern": 1,
    "torch_dtype": "float32",
    "transformers_version": "4.51.2",
    "use_cache": true,
    "vocab_size": 128256
}