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:
- 891d7b532623b08569a41ef556dfaf7be2c79836504b8247b36a4fdcf85bc638
- Size of remote file:
- 4.98 GB
- SHA256:
- 4c3b7e9860f088212311725cc918c6992e71f820719f4c692f0fe42dddd713a2
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