Instructions to use GreenBitAI/DeepSeek-R1-671B-layer-mix-bpw-4.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use GreenBitAI/DeepSeek-R1-671B-layer-mix-bpw-4.0 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir DeepSeek-R1-671B-layer-mix-bpw-4.0 GreenBitAI/DeepSeek-R1-671B-layer-mix-bpw-4.0
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 2bc6d5d129d04446ec884e0e6c2470562e88b52d60ac109a9d55921eed630777
- Size of remote file:
- 5 GB
- SHA256:
- 2951e359e59d76c374276d2cb831ece8f164a5bde4840f294142a3f30c41eb66
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.