Instructions to use mlx-community/DeepSeek-R1-Distill-Llama-70B-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/DeepSeek-R1-Distill-Llama-70B-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir DeepSeek-R1-Distill-Llama-70B-8bit mlx-community/DeepSeek-R1-Distill-Llama-70B-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- b26c39478339ca8dc2c745e6a42286803f24c05630a50b8d60e90610ba967cb5
- Size of remote file:
- 5.21 GB
- SHA256:
- 91154f6dd2853fbdabd200a30145f088bdfac05de1b4dd28b3a0e264ab8e0abf
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