Instructions to use baa-ai/Qwen3.5-122B-A10B-RAM-100GB-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use baa-ai/Qwen3.5-122B-A10B-RAM-100GB-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen3.5-122B-A10B-RAM-100GB-MLX baa-ai/Qwen3.5-122B-A10B-RAM-100GB-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 16cf6aefb99436b3e41f3ffbf5284c22f2c7c852ffc75f96d4af340f763c6b61
- Size of remote file:
- 5.2 GB
- SHA256:
- 1ead5ed92ed66794fabe08a9fd9b0cfdba0303fdcbd5cddca4ba15ca9ba7d679
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