Instructions to use vanch007/Audio8-TTS-MLX-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use vanch007/Audio8-TTS-MLX-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download vanch007/Audio8-TTS-MLX-8bit --local-dir Audio8-TTS-MLX-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
|
Download README.md from vanch007/Audio8-TTS-MLX-8bit: direct link, hf CLI and curl.
- Browser
- Download file 1.71 kB
-
https://huggingface.co/vanch007/Audio8-TTS-MLX-8bit/resolve/main/README.md
- Command line
-
hf download hf://vanch007/Audio8-TTS-MLX-8bit/README.md
-
curl -L -o README.md https://huggingface.co/vanch007/Audio8-TTS-MLX-8bit/resolve/main/README.md
1.71 kB
metadata
license: apache-2.0
base_model: Audio8/Audio8-TTS-Preview-0.6b
pipeline_tag: text-to-speech
language:
- yue
- zh
- en
- ja
- ko
- fr
- de
- es
- it
- nl
- pl
tags:
- mlx
- apple-silicon
- tts
- 8-bit
- voice-cloning
- streaming
- arktts
library_name: mlx
Audio8-TTS-MLX-8bit
Native MLX 8-bit release of Audio8/Audio8-TTS-Preview-0.6b for Apple Silicon.
Inference code, installation, API documentation, tests, and benchmark evidence: vanch007/mlx-audio8-tts.
Artifact
- Affine 8-bit, group size 64,
sensitive-bf16policy. - 827 MiB language-model weights; 2.08 GiB complete repository download.
- The shared 1.26 GiB neural codec, embeddings, and Fast AR depth decoder are kept at higher precision to protect speech quality.
- 44,100 Hz output, 10 acoustic codebooks.
M3 Max benchmark
Seeded post-warm-up RTF on the release checkpoint: 0.983 English, 0.922 Chinese, and 0.793 Cantonese. Model download, loading, and warm-up are excluded. Lower is better; values below 1.0 are faster than real-time. The reproducible script and report are published with the source project.
Usage
git clone https://github.com/vanch007/mlx-audio8-tts.git
cd mlx-audio8-tts
pip install -e '.[server]'
mlx-audio8-tts generate \
--model vanch007/Audio8-TTS-MLX-8bit \
--text "你好,欢迎使用 MLX Audio8 TTS。" \
--output output.wav
This is an independent Apache-2.0 MLX conversion. See the upstream project for the original architecture and checkpoint.