Instructions to use alexgusevski/Fallen-Llama-3.3-R1-70B-v1-Q8-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use alexgusevski/Fallen-Llama-3.3-R1-70B-v1-Q8-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Fallen-Llama-3.3-R1-70B-v1-Q8-mlx alexgusevski/Fallen-Llama-3.3-R1-70B-v1-Q8-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- e32cd0017a9ea34139cd213d41e3f5bf571e79a1b4a5b993f726612d3553a3ff
- Size of remote file:
- 5.13 GB
- SHA256:
- a47c4fa25b553100ad3178e3a50aa6ccee10e0326cbb4aa065a3505ebdf3270f
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