Instructions to use Wwayu/Fin-R1-mlx-6Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Wwayu/Fin-R1-mlx-6Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Fin-R1-mlx-6Bit Wwayu/Fin-R1-mlx-6Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- a70105127585ae284caf88d3e065e84feb1ae998f78ce3235aff427b75d51162
- Size of remote file:
- 822 MB
- SHA256:
- 1fa8612b9c44fe1e17cdb03840bfc5ebf386621eaa3d8e9640290afaf1726860
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