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:
- 554053a2bee7fe93d02ba9d4ad82d3e8ed918ed68305f4c370604cb3211227cd
- Size of remote file:
- 5.07 GB
- SHA256:
- e050d33024cb9d5d856327832332133dae84f92300d2c7114208aaec6a426eee
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