Instructions to use akkikiki/j-moshi-ext-mlx-q8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Moshi
How to use akkikiki/j-moshi-ext-mlx-q8 with Moshi:
# pip install moshi_mlx # Run local inference (macOS Apple Silicon) python -m moshi_mlx.local -q 8 --hf-repo "akkikiki/j-moshi-ext-mlx-q8" # Or run with web UI python -m moshi_mlx.local_web -q 8 --hf-repo "akkikiki/j-moshi-ext-mlx-q8"
- Notebooks
- Google Colab
- Kaggle
Download model.q8.safetensors from akkikiki/j-moshi-ext-mlx-q8: direct link, hf CLI and curl.
- Browser
- Download file 8.17 GB
-
https://huggingface.co/akkikiki/j-moshi-ext-mlx-q8/resolve/main/model.q8.safetensors
- Command line
-
hf download hf://akkikiki/j-moshi-ext-mlx-q8/model.q8.safetensors
-
curl -L -o model.q8.safetensors https://huggingface.co/akkikiki/j-moshi-ext-mlx-q8/resolve/main/model.q8.safetensors
8.17 GB
- Xet hash:
- 601072056d4e1107b0397292c40062691c60ecda2cfcd879558a6e606e253abf
- Size of remote file:
- 8.17 GB
- SHA256:
- 2d6fa7a9b790f78af94224d7044f05ca02234d9e94f3e0c16e15f564232f04c4
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