Instructions to use TendernessChen/PromptCoT-QwQ-32B-mlx-3Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use TendernessChen/PromptCoT-QwQ-32B-mlx-3Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir PromptCoT-QwQ-32B-mlx-3Bit TendernessChen/PromptCoT-QwQ-32B-mlx-3Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- 76562727636b9d7d463fa0e946c81da9f18afc113a9c655dfe366eba260bedcd
- Size of remote file:
- 11.4 MB
- SHA256:
- 3c3dfe474a8bbe89b0e83627fd9ff784ad71027f12fd8c618708c818e808789d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.