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:
- 6a020b6c0c19d98b21290068e61ba40cda85ea8afc0e6a68b7e7f0930a48c25d
- Size of remote file:
- 900 MB
- SHA256:
- fc8e72ae652e40c35119394b4cbe6ee715b87a0943d8a3c49f457ef326cfa36a
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