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:
- 252355c855febec6a363ece5244a4de67cf7d19680ba811e6d922083f4cb90be
- Size of remote file:
- 5.37 GB
- SHA256:
- cea1bdaf1c3d4d9df9393742ace67ff0a5c258cc009e4d81818d375ce9fda881
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