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Voxtral-Mini-4B-INT4-Jetson

speech-to-text
voxtral
mistral
int4
quantized
jetson
edge
realtime
streaming
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Voxtral-Mini-4B-INT4-Jetson
File size: 1,574 Bytes 
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{
  "dim": 3072,
  "n_layers": 26,
  "head_dim": 128,
  "hidden_dim": 9216,
  "n_heads": 32,
  "n_kv_heads": 8,
  "use_biases": false,
  "causal": true,
  "rope_theta": 1000000.0,
  "norm_eps": 1e-05,
  "vocab_size": 131072,
  "model_parallel": 1,
  "tied_embeddings": true,
  "sliding_window": 8192,
  "model_max_length": 131072,
  "multimodal": {
    "whisper_model_args": {
      "encoder_args": {
        "audio_encoding_args": {
          "sampling_rate": 16000,
          "frame_rate": 12.5,
          "num_mel_bins": 128,
          "hop_length": 160,
          "window_size": 400,
          "chunk_length_s": null,
          "global_log_mel_max": 1.5,
          "transcription_format": "streaming"
        },
        "dim": 1280,
        "n_layers": 32,
        "head_dim": 64,
        "hidden_dim": 5120,
        "n_heads": 32,
        "vocab_size": 131072,
        "n_kv_heads": 32,
        "use_biases": true,
        "use_cache": false,
        "rope_theta": 1000000.0,
        "causal": true,
        "norm_eps": 1e-05,
        "pos_embed": "rope",
        "max_source_positions": null,
        "ffn_type": "swiglu",
        "norm_type": "rms_norm",
        "sliding_window": 750,
        "ragged_attention": "750"
      },
      "downsample_args": {
        "downsample_factor": 4
      }
    }
  },
  "ada_rms_norm_t_cond": true,
  "ada_rms_norm_t_cond_dim": 32,
  "quantization_config": {
    "quant_method": "gptq",
    "bits": 4,
    "group_size": 128,
    "desc_act": false,
    "sym": true,
    "checkpoint_format": "gptq",
    "pack_dtype": "int32"
  }
}