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:
- 5aa83113ee0e9bdd3950d171ac835f297196d97436a313bf366c0a041a7a8f70
- Size of remote file:
- 1.87 GB
- SHA256:
- 5951efc6a441e1ac7ccd04ced446b210535e4998af262ab3f039dc667839c9c9
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