How to use from the
Use from the
MLX library
# Download the model from the Hub
pip install huggingface_hub[hf_xet]

huggingface-cli download --local-dir Chatterbox-TTS-4bit mlx-community/Chatterbox-TTS-4bit

mlx-community/Chatterbox-TTS-4bit

This model was converted to MLX format from ResembleAI/chatterbox using mlx-audio-plus version 0.1.0.

Note: This model requires the S3Tokenizer weights from mlx-community/S3TokenizerV2, which will be downloaded automatically.

Use with mlx-audio-plus

pip install -U mlx-audio-plus

Command line

mlx_audio.tts --model mlx-community/Chatterbox-TTS-4bit --text "Hello, this is Chatterbox on MLX!" --ref_audio reference.wav --ref_text "."

Python

from mlx_audio.tts.generate import generate_audio

generate_audio(
    text="Hello, this is Chatterbox on MLX!",
    model="mlx-community/Chatterbox-TTS-4bit",
    ref_audio="reference.wav",
    ref_text=".",
    file_prefix="output",
)
Downloads last month
396
Safetensors
Model size
0.3B params
Tensor type
F32
ยท
U32
ยท
MLX
Hardware compatibility
Log In to add your hardware

Quantized

Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Model tree for mlx-community/Chatterbox-TTS-4bit

Finetuned
(59)
this model

Spaces using mlx-community/Chatterbox-TTS-4bit 4