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:
- 5cc6a68244853cc5ea87daea2955e4ec45631e46efea68cf1d111015c111c96c
- Size of remote file:
- 20.1 MB
- SHA256:
- afef0de6554e39ef28de75c6c502c90b5c1c81aa49eb13f8f3aa8fe32275da69
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.