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Browse files- README.md +53 -0
- config.json +148 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +909 -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-bf16
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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 **0.3.0**.
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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-bf16 --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-bf16")
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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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| 35 |
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"layernorm_eps": 1e-05,
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| 36 |
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"mixer_layer": "depthwise_conv",
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| 37 |
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"model_type": "vibevoice_acoustic_tokenizer",
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| 38 |
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"pad_mode": "constant",
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| 39 |
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"std_dist_type": "gaussian",
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| 40 |
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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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| 44 |
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"architectures": [
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"VibeVoiceForASRTraining"
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| 46 |
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],
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| 47 |
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"decoder_config": {
|
| 48 |
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"attention_dropout": 0.0,
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| 49 |
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"dtype": "bfloat16",
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| 50 |
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"hidden_act": "silu",
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| 51 |
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"hidden_size": 3584,
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| 52 |
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"initializer_range": 0.02,
|
| 53 |
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"intermediate_size": 18944,
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| 54 |
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"layer_types": [
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| 55 |
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"full_attention",
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| 56 |
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"full_attention",
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| 57 |
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"full_attention",
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| 58 |
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"full_attention",
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| 59 |
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"full_attention",
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| 60 |
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"full_attention",
|
| 61 |
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"full_attention",
|
| 62 |
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"full_attention",
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| 63 |
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"full_attention",
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| 64 |
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"full_attention",
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| 65 |
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"full_attention",
|
| 66 |
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"full_attention",
|
| 67 |
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"full_attention",
|
| 68 |
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"full_attention",
|
| 69 |
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"full_attention",
|
| 70 |
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"full_attention",
|
| 71 |
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"full_attention",
|
| 72 |
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"full_attention",
|
| 73 |
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"full_attention",
|
| 74 |
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"full_attention",
|
| 75 |
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"full_attention",
|
| 76 |
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"full_attention",
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| 77 |
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"full_attention",
|
| 78 |
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"full_attention",
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| 79 |
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"full_attention",
|
| 80 |
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"full_attention",
|
| 81 |
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"full_attention",
|
| 82 |
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"full_attention"
|
| 83 |
+
],
|
| 84 |
+
"max_position_embeddings": 131072,
|
| 85 |
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"max_window_layers": 28,
|
| 86 |
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"model_type": "qwen2",
|
| 87 |
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"num_attention_heads": 28,
|
| 88 |
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"num_hidden_layers": 28,
|
| 89 |
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"num_key_value_heads": 4,
|
| 90 |
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"rms_norm_eps": 1e-06,
|
| 91 |
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"rope_scaling": null,
|
| 92 |
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"rope_theta": 1000000.0,
|
| 93 |
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"sliding_window": null,
|
| 94 |
+
"use_cache": true,
|
| 95 |
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"use_mrope": false,
|
| 96 |
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"use_sliding_window": false,
|
| 97 |
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"vocab_size": 152064
|
| 98 |
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},
|
| 99 |
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"diffusion_head_config": {
|
| 100 |
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"ddpm_batch_mul": 4,
|
| 101 |
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"ddpm_beta_schedule": "cosine",
|
| 102 |
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"ddpm_num_inference_steps": 20,
|
| 103 |
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"ddpm_num_steps": 1000,
|
| 104 |
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"diffusion_type": "ddpm",
|
| 105 |
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"head_ffn_ratio": 3.0,
|
| 106 |
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"head_layers": 4,
|
| 107 |
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"hidden_size": 3584,
|
| 108 |
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"latent_size": 64,
|
| 109 |
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"model_type": "vibepod_diffusion_head",
|
| 110 |
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"prediction_type": "v_prediction",
|
| 111 |
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"rms_norm_eps": 1e-05,
|
| 112 |
+
"speech_vae_dim": 64
|
| 113 |
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},
|
| 114 |
+
"dtype": "float32",
|
| 115 |
+
"model_type": "vibevoice_asr",
|
| 116 |
+
"semantic_tokenizer_config": {
|
| 117 |
+
"causal": true,
|
| 118 |
+
"channels": 1,
|
| 119 |
+
"conv_bias": true,
|
| 120 |
+
"conv_norm": "none",
|
| 121 |
+
"corpus_normalize": 0.0,
|
| 122 |
+
"disable_last_norm": true,
|
| 123 |
+
"dtype": "bfloat16",
|
| 124 |
+
"encoder_depths": "3-3-3-3-3-3-8",
|
| 125 |
+
"encoder_n_filters": 32,
|
| 126 |
+
"encoder_ratios": [
|
| 127 |
+
8,
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| 128 |
+
5,
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| 129 |
+
5,
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| 130 |
+
4,
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| 131 |
+
2,
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| 132 |
+
2
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| 133 |
+
],
|
| 134 |
+
"fix_std": 0,
|
| 135 |
+
"layer_scale_init_value": 1e-06,
|
| 136 |
+
"layernorm": "RMSNorm",
|
| 137 |
+
"layernorm_elementwise_affine": true,
|
| 138 |
+
"layernorm_eps": 1e-05,
|
| 139 |
+
"mixer_layer": "depthwise_conv",
|
| 140 |
+
"model_type": "vibevoice_semantic_tokenizer",
|
| 141 |
+
"pad_mode": "constant",
|
| 142 |
+
"std_dist_type": "none",
|
| 143 |
+
"vae_dim": 128,
|
| 144 |
+
"weight_init_value": 0.01
|
| 145 |
+
},
|
| 146 |
+
"semantic_vae_dim": 128,
|
| 147 |
+
"transformers_version": "4.57.6"
|
| 148 |
+
}
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model-00001-of-00004.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:0c3e98d7100001799b9976f1e683cd10de03f097618c9edbd4622f9f92319af8
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size 5349228083
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model-00002-of-00004.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8179499f638957475be8ca9cbb22377b06fef896d8880d360d3ae3f0801337e1
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size 5288769486
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model-00003-of-00004.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:4752391ca97f47ff027424aff686d891f65169494649f85a8dc1bd3e5049e3fb
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size 4932774729
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model-00004-of-00004.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:4de94b4df5b00469e1a0c69ece67f4710f4b7670f0449808ae5f4ac02f34b648
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size 1089994894
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model.safetensors.index.json
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|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
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"total_size": 16660651776,
|
| 4 |
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"total_parameters": 8330236160
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 15 |
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| 19 |
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| 26 |
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