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:
- 01dd0cdd9334705cf97d4862cd93df50c1910b43ab3924c7d76f8f22c329f891
- Size of remote file:
- 4.94 GB
- SHA256:
- a7ee415102c086bc6ecb3902eaeea8ca9d6b6f42b588d9e14d586643ac7b99c6
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