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:
- 0dd0160694a6e66c9fb7cbc847042f1d062d60645b81bc04cb524310dbed7d62
- Size of remote file:
- 5.37 GB
- SHA256:
- e62937d8ed655fb1dece89669371d49986d18b32c8f8267bdfdc0e61bcbbc88e
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