Instructions to use akkikiki/j-moshi-ext-mlx-q4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Moshi
How to use akkikiki/j-moshi-ext-mlx-q4 with Moshi:
# pip install moshi_mlx # Run local inference (macOS Apple Silicon) python -m moshi_mlx.local -q 4 --hf-repo "akkikiki/j-moshi-ext-mlx-q4" # Or run with web UI python -m moshi_mlx.local_web -q 4 --hf-repo "akkikiki/j-moshi-ext-mlx-q4"
- Notebooks
- Google Colab
- Kaggle
Download model.q4.safetensors from akkikiki/j-moshi-ext-mlx-q4: direct link, hf CLI and curl.
- Browser
- Download file 4.81 GB
-
https://huggingface.co/akkikiki/j-moshi-ext-mlx-q4/resolve/main/model.q4.safetensors
- Command line
-
hf download hf://akkikiki/j-moshi-ext-mlx-q4/model.q4.safetensors
-
curl -L -o model.q4.safetensors https://huggingface.co/akkikiki/j-moshi-ext-mlx-q4/resolve/main/model.q4.safetensors
4.81 GB
- Xet hash:
- 01260aa1b3c2b38f8bb77f17e12e754dcd33bab129761aec938dbaa5693d6b29
- Size of remote file:
- 4.81 GB
- SHA256:
- d2b5e0e50cd56b86d3c6d6328e04c87a4f2534f346f84c4079180de6a065f5c2
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