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:
- a776405e25505d9508fa5469999fd9803c178e8f67420d4f6087e215ccdddb80
- Size of remote file:
- 5.16 GB
- SHA256:
- d934c77e46e2b055e2413a5fbf020c042f16ca2908d4d0cd89269a99129fb83c
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