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Browse files- README.md +53 -0
- config.json +158 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +0 -0
README.md
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---
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language:
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- en
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- zh
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license: mit
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pipeline_tag: automatic-speech-recognition
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tags:
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- ASR
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- Transcriptoin
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- Diarization
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- Speech-to-Text
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- mlx
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- speech-to-text
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- speech
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- transcription
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- asr
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- stt
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- mlx-audio
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library_name: mlx-audio
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---
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# mlx-community/VibeVoice-ASR-6bit
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This model was converted to MLX format from [`microsoft/VibeVoice-ASR`](https://huggingface.co/microsoft/VibeVoice-ASR) using mlx-audio version **0.3.0rc1**.
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Refer to the [original model card](https://huggingface.co/microsoft/VibeVoice-ASR) for more details on the model.
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## Use with mlx-audio
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```bash
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pip install -U mlx-audio
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```
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### CLI Example:
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```bash
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python -m mlx_audio.stt.generate --model mlx-community/VibeVoice-ASR-6bit --audio "audio.wav"
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```
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### Python Example:
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```python
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from mlx_audio.stt.utils import load_model
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from mlx_audio.stt.generate import generate_transcription
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model = load_model("mlx-community/VibeVoice-ASR-6bit")
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transcription = generate_transcription(
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model=model,
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audio_path="path_to_audio.wav",
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output_path="path_to_output.txt",
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format="txt",
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verbose=True,
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)
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print(transcription.text)
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```
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config.json
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{
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"_attn_implementation_autoset": false,
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"acoustic_tokenizer_config": {
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"causal": true,
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"channels": 1,
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"conv_bias": true,
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"conv_norm": "none",
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"corpus_normalize": 0.0,
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"decoder_depths": null,
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"decoder_n_filters": 32,
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"decoder_ratios": [
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8,
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5,
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5,
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4,
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2,
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2
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],
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"disable_last_norm": true,
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"dtype": "bfloat16",
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"encoder_depths": "3-3-3-3-3-3-8",
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"encoder_n_filters": 32,
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"encoder_ratios": [
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8,
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5,
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5,
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4,
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2,
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2
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],
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"fix_std": 0.5,
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"layer_scale_init_value": 1e-06,
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"layernorm": "RMSNorm",
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"layernorm_elementwise_affine": true,
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"layernorm_eps": 1e-05,
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"mixer_layer": "depthwise_conv",
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"model_type": "vibevoice_acoustic_tokenizer",
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"pad_mode": "constant",
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"std_dist_type": "gaussian",
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"vae_dim": 64,
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"weight_init_value": 0.01
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},
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"acoustic_vae_dim": 64,
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"architectures": [
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"VibeVoiceForASRTraining"
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],
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"decoder_config": {
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"attention_dropout": 0.0,
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"dtype": "bfloat16",
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"hidden_act": "silu",
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"hidden_size": 3584,
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"initializer_range": 0.02,
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"intermediate_size": 18944,
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"layer_types": [
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention"
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],
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"max_position_embeddings": 131072,
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"max_window_layers": 28,
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"model_type": "qwen2",
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"num_attention_heads": 28,
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"num_hidden_layers": 28,
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"num_key_value_heads": 4,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 1000000.0,
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"sliding_window": null,
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"use_cache": true,
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"use_mrope": false,
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"use_sliding_window": false,
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"vocab_size": 152064
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},
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"diffusion_head_config": {
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"ddpm_batch_mul": 4,
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"ddpm_beta_schedule": "cosine",
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"ddpm_num_inference_steps": 20,
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"ddpm_num_steps": 1000,
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"diffusion_type": "ddpm",
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"head_ffn_ratio": 3.0,
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"head_layers": 4,
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"hidden_size": 3584,
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"latent_size": 64,
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"model_type": "vibepod_diffusion_head",
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"prediction_type": "v_prediction",
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"rms_norm_eps": 1e-05,
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"speech_vae_dim": 64
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},
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"dtype": "float32",
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"model_type": "vibevoice_asr",
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"quantization": {
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| 117 |
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"group_size": 64,
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| 118 |
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"bits": 6,
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| 119 |
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"mode": "affine"
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},
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"quantization_config": {
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| 122 |
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"group_size": 64,
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"bits": 6,
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"mode": "affine"
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},
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| 126 |
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"semantic_tokenizer_config": {
|
| 127 |
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"causal": true,
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| 128 |
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"channels": 1,
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| 129 |
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"conv_bias": true,
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| 130 |
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"conv_norm": "none",
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| 131 |
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"corpus_normalize": 0.0,
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| 132 |
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"disable_last_norm": true,
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| 133 |
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"dtype": "bfloat16",
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| 134 |
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"encoder_depths": "3-3-3-3-3-3-8",
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| 135 |
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"encoder_n_filters": 32,
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| 136 |
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"encoder_ratios": [
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8,
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5,
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5,
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4,
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2,
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2
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],
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| 144 |
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"fix_std": 0,
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"layer_scale_init_value": 1e-06,
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| 146 |
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"layernorm": "RMSNorm",
|
| 147 |
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"layernorm_elementwise_affine": true,
|
| 148 |
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"layernorm_eps": 1e-05,
|
| 149 |
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"mixer_layer": "depthwise_conv",
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| 150 |
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"model_type": "vibevoice_semantic_tokenizer",
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| 151 |
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"pad_mode": "constant",
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| 152 |
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"std_dist_type": "none",
|
| 153 |
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"vae_dim": 128,
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| 154 |
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"weight_init_value": 0.01
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| 155 |
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},
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| 156 |
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"semantic_vae_dim": 128,
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| 157 |
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"transformers_version": "4.57.6"
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}
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model-00001-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:eb034800ed0b1d94469fa7445f0df429d9fc6e3cf6e511330b188b71cad4463a
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size 5360114475
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model-00002-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f5890215e0574892fd36be7357645685657761cc540cdae32d1a48096d168a0f
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size 2257554265
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model.safetensors.index.json
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