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:
- 75d37bbf4318583a1e623c3c68aec554e75900a9f7df37ab254126db156baf3b
- Size of remote file:
- 3.66 GB
- SHA256:
- 5fc4d179f015c1df48ee799c1376090a3c4c9412e5342a1552f44f4b932524f5
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