Instructions to use mlx-community/Audio8-TTS-Preview-0.6b-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Audio8-TTS-Preview-0.6b-bf16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Audio8-TTS-Preview-0.6b-bf16 mlx-community/Audio8-TTS-Preview-0.6b-bf16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Add Audio8-TTS-Preview-0.6b MLX conversion (bf16 LM + fp32 codec, arktts)
Browse files- .gitattributes +1 -0
- README.md +77 -0
- codec.safetensors +3 -0
- config.json +51 -0
- generation_config.json +10 -0
- model.safetensors +3 -0
- special_tokens_map.json +0 -0
- tokenizer.json +3 -0
- tokenizer_config.json +0 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: apache-2.0
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base_model: Audio8/Audio8-TTS-Preview-0.6b
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library_name: mlx-audio
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pipeline_tag: text-to-speech
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language:
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- yue
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- zh
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- nl
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- en
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- fr
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- de
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- it
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- ja
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- ko
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- pl
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- es
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tags:
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- mlx
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- audio
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- text-to-speech
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- tts
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- voice-cloning
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- zero-shot
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- multilingual
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- arktts
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---
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# Audio8-TTS-Preview-0.6b-bf16 (MLX)
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MLX conversion of [Audio8/Audio8-TTS-Preview-0.6b](https://huggingface.co/Audio8/Audio8-TTS-Preview-0.6b)
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(revision `1b17c91`) for Apple Silicon — a 0.6B-parameter multilingual text-to-speech
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model with zero-shot voice cloning and a bundled 44.1 kHz neural codec.
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- **Language model**: bf16 (as published upstream)
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- **Codec**: fp32, converted from `codec.pth` to safetensors with weight-norm folded
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and conv weights in MLX (channels-last) layout
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- **Architecture**: `arktts` — a DualAR transformer (24-layer slow AR predicting one
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semantic token per frame, 4-layer fast AR predicting 10 codec codebooks per frame),
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inspired by Fish Audio S2 Pro
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Conversion parity vs the PyTorch reference (fp32, CPU): unit/block outputs within
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1e-4, reference-audio codec encoding 100% code-exact, greedy generation 100%
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token-exact over the validation utterance, decoded waveform max-abs 7.5e-6.
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## Usage (mlx-audio)
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Requires an [mlx-audio](https://github.com/Blaizzy/mlx-audio) version with `arktts`
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support.
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```python
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import soundfile as sf
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from mlx_audio.tts.utils import load
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model = load("mlx-community/Audio8-TTS-Preview-0.6b-bf16")
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# zero-shot voice cloning: the reference transcript must match the reference audio
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for result in model.generate(
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text="Welcome to Audio8 TTS, running on Apple Silicon.",
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ref_audio="reference.wav",
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ref_text="Transcript of the reference clip.",
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temperature=0.7, top_p=0.9, top_k=50,
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):
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sf.write("output.wav", result.audio, result.sample_rate)
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```
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Without `ref_audio`, the model synthesizes with a default voice.
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## Supported languages
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Cantonese, Chinese, Dutch, English, French, German, Italian, Japanese, Korean,
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Polish, Spanish (per the upstream preview release).
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## License
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Apache-2.0, following the upstream model. The bundled codec weights are part of the
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upstream repository and carry the same license.
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codec.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:540d01e161e079fcff67b4a1b78ad5a0158be5b829a494033f4881c563502a3a
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size 1349643293
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config.json
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{
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"architectures": [
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"ArkttsModel"
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],
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"attention_o_bias": false,
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"attention_qk_norm": false,
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"attention_qkv_bias": true,
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"codebook_size": 4096,
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"codec_filename": "codec.safetensors",
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"codec_frame_size": 2048,
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"codec_post_intermediate_size": 1216,
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"codec_post_n_head": 16,
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"codec_post_n_layer": 8,
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"codec_post_n_local_heads": 8,
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"codec_sample_rate": 44100,
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"dim": 896,
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"dropout": 0.0,
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"dtype": "bfloat16",
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"eos_token_id": 151645,
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"fast_attention_o_bias": false,
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"fast_attention_qk_norm": false,
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"fast_attention_qkv_bias": false,
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"fast_dim": 896,
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"fast_head_dim": 64,
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"fast_intermediate_size": 4864,
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"fast_n_head": 14,
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"fast_n_local_heads": 2,
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"head_dim": 64,
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"initializer_range": 0.02,
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"intermediate_size": 4864,
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"max_seq_len": 2048,
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"model_type": "arktts",
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"n_fast_layer": 4,
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"n_head": 14,
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"n_layer": 24,
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"n_local_heads": 2,
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"norm_eps": 1e-06,
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"norm_fastlayer_input": true,
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"num_codebooks": 10,
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"pad_token_id": 151643,
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"ras_temperature": 1.0,
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"ras_top_p": 0.9,
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"ras_window_size": 10,
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"rope_base": 1000000,
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"semantic_begin_id": 151678,
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"semantic_end_id": 155773,
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"tie_word_embeddings": true,
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"transformers_version": "4.57.5",
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"use_gradient_checkpointing": false,
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"vocab_size": 155776
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}
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generation_config.json
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{
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"do_sample": true,
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"eos_token_id": 151645,
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"max_new_tokens": 512,
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"pad_token_id": 151643,
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"temperature": 0.7,
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"top_k": 50,
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"top_p": 0.9,
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"transformers_version": "4.57.5"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a2cc2dd288b71a5a476232f30531e0f011a32f27b7b81cdda727c102593f4020
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size 1202343821
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special_tokens_map.json
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:f24e08099d45a8adf3f52f5f0b03276e433bb9d689bb15fcbcc48ce58744588b
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size 12217872
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tokenizer_config.json
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