Instructions to use mlx-community/DeepSeek-R1-Distill-Llama-8B-4bit 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-8B-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir DeepSeek-R1-Distill-Llama-8B-4bit mlx-community/DeepSeek-R1-Distill-Llama-8B-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- Xet hash:
- 85ad5c8944ff5c073c022c58ae980d26c3527c588935c913dd82f733e95103c6
- Size of remote file:
- 17.2 MB
- SHA256:
- d91915040cfac999d8c55f4b5bc6e67367c065e3a7a4e4b9438ce1f256addd86
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