Instructions to use t0rr3sp3dr0/Qwen3.5-9B-MLX-MTP-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use t0rr3sp3dr0/Qwen3.5-9B-MLX-MTP-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen3.5-9B-MLX-MTP-8bit t0rr3sp3dr0/Qwen3.5-9B-MLX-MTP-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- 6a8dddd0d0aec75673066141baf2b7f2f9d331cfa9afc8f12db782f9e5c2ab5d
- Size of remote file:
- 290 MB
- SHA256:
- c5b9a4a914731ecc75442cff620a627384fe3a346c23877a5d6c661003d73d80
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