Instructions to use GreenBitAI/DeepSeek-R1-Distill-Qwen-32B-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-Qwen-32B-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-Qwen-32B-layer-mix-bpw-4.0-mlx GreenBitAI/DeepSeek-R1-Distill-Qwen-32B-layer-mix-bpw-4.0-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- bc5d9539a2c0bddf92b7c818c0bc4ec92b47d147788168539deb3d7173d145f1
- Size of remote file:
- 3.61 GB
- SHA256:
- ca2760444845f3e0262b91fe858ff36aa398eece12848364762dc398d914fc12
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.