Text-to-Speech
Safetensors
MLX
mlx-audio
qwen3
unsloth
speech
speech generation
voice cloning
tts
4-bit precision
Instructions to use mlx-community/VyvoTTS-EN-Beta-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/VyvoTTS-EN-Beta-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir VyvoTTS-EN-Beta-4bit mlx-community/VyvoTTS-EN-Beta-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- Unsloth Studio
How to use mlx-community/VyvoTTS-EN-Beta-4bit with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for mlx-community/VyvoTTS-EN-Beta-4bit to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for mlx-community/VyvoTTS-EN-Beta-4bit to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for mlx-community/VyvoTTS-EN-Beta-4bit to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="mlx-community/VyvoTTS-EN-Beta-4bit", max_seq_length=2048, )
Ctrl+K