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:
- 607c3a333689ee45a54ee219fb1123825785a8a771512ab67d1a4258dcf19ad1
- Size of remote file:
- 5.34 GB
- SHA256:
- 650bc1c70894562a0ca4adfaa7f10a9fba99d43f3816ef1519765f957d7c063c
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