Instructions to use GreenBitAI/DeepSeek-R1-Distill-Llama-8B-layer-mix-bpw-4.0-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use GreenBitAI/DeepSeek-R1-Distill-Llama-8B-layer-mix-bpw-4.0-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir DeepSeek-R1-Distill-Llama-8B-layer-mix-bpw-4.0-mlx GreenBitAI/DeepSeek-R1-Distill-Llama-8B-layer-mix-bpw-4.0-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 6f1facb8185c6ce5f476f61715824745b1a9aa1a103fea543cb35bd7787e97e9
- Size of remote file:
- 1.05 GB
- SHA256:
- c35e156572b9c15242e50729669a91fd59286af24a0a9efc6fdd971c3c9c02cb
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