Text-to-Speech
Safetensors
Chatterbox
MLX
mlx-audio
multilingual
voice-cloning
8-bit precision
affine
omlx
Instructions to use groxaxo/chatterbox-multilingual-MLX-Q8-G64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use groxaxo/chatterbox-multilingual-MLX-Q8-G64 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download groxaxo/chatterbox-multilingual-MLX-Q8-G64 --local-dir chatterbox-multilingual-MLX-Q8-G64
- Chatterbox
How to use groxaxo/chatterbox-multilingual-MLX-Q8-G64 with Chatterbox:
# pip install chatterbox-tts import torchaudio as ta from chatterbox.tts import ChatterboxTTS model = ChatterboxTTS.from_pretrained(device="cuda") text = "Ezreal and Jinx teamed up with Ahri, Yasuo, and Teemo to take down the enemy's Nexus in an epic late-game pentakill." wav = model.generate(text) ta.save("test-1.wav", wav, model.sr) # If you want to synthesize with a different voice, specify the audio prompt AUDIO_PROMPT_PATH="YOUR_FILE.wav" wav = model.generate(text, audio_prompt_path=AUDIO_PROMPT_PATH) ta.save("test-2.wav", wav, model.sr) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download evaluation/fidelity-2026-10-10/figures/all-figures.pdf from groxaxo/chatterbox-multilingual-MLX-Q8-G64: direct link, hf CLI and curl.
- Browser
- Download file 49.1 kB
-
https://huggingface.co/groxaxo/chatterbox-multilingual-MLX-Q8-G64/resolve/main/evaluation/fidelity-2026-10-10/figures/all-figures.pdf
- Command line
-
hf download hf://groxaxo/chatterbox-multilingual-MLX-Q8-G64/evaluation/fidelity-2026-10-10/figures/all-figures.pdf
-
curl -L -o all-figures.pdf https://huggingface.co/groxaxo/chatterbox-multilingual-MLX-Q8-G64/resolve/main/evaluation/fidelity-2026-10-10/figures/all-figures.pdf
49.1 kB