Instructions to use soichisumi/harrier-27b-mlx-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use soichisumi/harrier-27b-mlx-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir harrier-27b-mlx-4bit soichisumi/harrier-27b-mlx-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- Xet hash:
- 0017c82997bf5d2bc936ab0ccdf4c2c6e0d7a03ee1788dc7d1329e2cb96b98f8
- Size of remote file:
- 33.4 MB
- SHA256:
- 11acfd476d36d457f3354aef39e503155cbcd3dfbf8a6c335ec4ecaca87ee437
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