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junnei
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gemma-3-4b-it-speech

Automatic Speech Recognition
Transformers
Safetensors
gemma3mm
feature-extraction
custom_code
Model card Files Community
3
gemma-3-4b-it-speech
File size: 3,092 Bytes 
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{
  "architectures": [
    "Gemma3MMForConditionalGeneration"
  ],
  "audio_config": {
    "activation": "swish",
    "activation_checkpointing": {
      "interval": 1,
      "module": "transformer",
      "offload": false
    },
    "attention_dim": 1024,
    "attention_heads": 16,
    "batch_norm": false,
    "bias_in_glu": true,
    "causal": true,
    "chunk_size": -1,
    "cnn_layer_norm": true,
    "conv_activation": "swish",
    "conv_glu_type": "swish",
    "depthwise_multiplier": 1,
    "depthwise_seperable_out_channel": 1024,
    "dropout_rate": 0.0,
    "encoder_embedding_config": {
      "input_size": 80
    },
    "ext_pw_kernel_size": 1,
    "ext_pw_out_channel": 1024,
    "input_layer": "nemo_conv",
    "input_size": 80,
    "kernel_size": 3,
    "left_chunk": 18,
    "linear_units": 1536,
    "model_type": "gemma3_audio",
    "nemo_conv_settings": {
      "conv_channels": 1024
    },
    "num_blocks": 24,
    "relative_attention_bias_args": {
      "t5_bias_max_distance": 500,
      "type": "t5"
    },
    "time_reduction": 8,
    "torch_dtype": "bfloat16"
  },
  "audio_token_index": 262143,
  "auto_map": {
    "AutoConfig": "configuration_gemma3mm.Gemma3MMConfig",
    "AutoModel": "modeling_gemma3mm.Gemma3MMForConditionalGeneration"
  },
  "boa_token_index": 256001,
  "boi_token_index": 255999,
  "eoa_token_index": 256002,
  "eoi_token_index": 256000,
  "eos_token_id": [
    1,
    106
  ],
  "image_token_index": 262144,
  "initializer_range": 0.02,
  "mm_tokens_per_image": 256,
  "model_type": "gemma3mm",
  "speech_lora": {
    "dp": 0.01,
    "layer": "((layers.*self_attn\\.(q|k|v|o)_proj)|(layers.*mlp\\.(gate|up|down)_proj))",
    "lora_alpha": 320,
    "r": 320,
    "use_rslora": true
  },
  "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": 2560,
    "initializer_range": 0.02,
    "intermediate_size": 10240,
    "max_position_embeddings": 131072,
    "model_type": "gemma3_text",
    "num_attention_heads": 8,
    "num_hidden_layers": 34,
    "num_key_value_heads": 4,
    "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": "4.50.2",
  "use_cache": false,
  "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
  }
}