Instructions to use Wwayu/Fin-R1-mlx-8Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Wwayu/Fin-R1-mlx-8Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Fin-R1-mlx-8Bit Wwayu/Fin-R1-mlx-8Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- 191cab96de5b50fe6f85689dff12188f7019c5edcbc23a98603c0e5e3b4e790d
- Size of remote file:
- 5.32 GB
- SHA256:
- 955aa3f5443dde7390db8eed3e551dc11d67a8ad8746df02b4a8bed5664e67bb
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