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:
- b3771b7f8fc71a1053ea2bfb61ebb55a40e28c7eaf22ebfacedb65dd36676fe3
- Size of remote file:
- 2.78 GB
- SHA256:
- 8b3a72dc31e2761c05d53cdf14f3fcecc1ba48c37cce9bb16608f4836d53faa3
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