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:
- e832cec90c4909d0caf804464668978cc1084b2c8321495830ea672e5813f7dd
- Size of remote file:
- 5.32 GB
- SHA256:
- 30f1c254e60cf81880702bd49690f68ffd67aa9113b162c7d4955af0489d9d8c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.