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:
- b6ac809b3f0d92d2681d62459c84f0af33283748dfbc3759511bf760c8478429
- Size of remote file:
- 5 GB
- SHA256:
- d81a5b8530f98ce4771c3af3875fbf0b1a7008e7dc27bd98699b804c2b6a93b8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.