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:
- c4644cb327d9e4d34c32a33da34195d2ffa0754f7ebf65412434c5e75ecd4c15
- Size of remote file:
- 5.35 GB
- SHA256:
- 88446163a4f3145c5468014ad69bf7d0f621709228b82b9b5ecf1cbc0d077a20
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