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:
- cc9e2c89409bf3b8e80c63cecab3eba3ecb0121d7d86cec0cf9257771eff508d
- Size of remote file:
- 4.73 GB
- SHA256:
- a67348fa4ada32b36f601d0f2a4225bbd3ec8d0a823ebaf70da123ead994e8f2
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