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:
- 65a21600ec3f3653c1a4fb28ca588681cb9e9984fad42b2eacb99a63bc5360a2
- Size of remote file:
- 5.33 GB
- SHA256:
- 8c716ae567dee79095d008234033297b465132b2b72347d8e3745af433ccf387
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