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:
- bfa05f759fbe01ee989d01c17c32faaff6a6027f3f1077bd497c6b06ce127bf3
- Size of remote file:
- 5.37 GB
- SHA256:
- ec3844e6edb1a6351f4a8c717213d85fc3ab22465c85dcbe18ebb532f75789b2
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