Text-to-Speech
MLX
Safetensors
English
dots_tts
tts
quantized
4-bit precision
8-bit precision
apple-silicon
dots.tts
Instructions to use smcleod/dots.tts-soar-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use smcleod/dots.tts-soar-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download smcleod/dots.tts-soar-mlx --local-dir dots.tts-soar-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download 4bit/patch_encoder/config.json from smcleod/dots.tts-soar-mlx: direct link, hf CLI and curl.
- Browser
- Download file 85 Bytes
-
https://huggingface.co/smcleod/dots.tts-soar-mlx/resolve/main/4bit/patch_encoder/config.json
- Command line
-
hf download hf://smcleod/dots.tts-soar-mlx/4bit/patch_encoder/config.json
-
curl -L -o config.json https://huggingface.co/smcleod/dots.tts-soar-mlx/resolve/main/4bit/patch_encoder/config.json
85 Bytes
| { | |
| "quantization": { | |
| "group_size": 64, | |
| "bits": 4, | |
| "mode": "affine" | |
| } | |
| } |