Instructions to use carlmuck/Star-Command-R-32B-v1-mlx-4Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use carlmuck/Star-Command-R-32B-v1-mlx-4Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Star-Command-R-32B-v1-mlx-4Bit carlmuck/Star-Command-R-32B-v1-mlx-4Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 8a8d7d7547cb49addf038ff5c07e9137a702c416a56a8fedf05f0f46927fdea9
- Size of remote file:
- 5.31 GB
- SHA256:
- b3b37fc91a3f4d02026fcc7b1b63bac10480a8cb35bbc7ab0006238e614ed30b
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