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:
- b0a88ee21510971aabfdb6e26e7edb2348dda0ad47ad9262e61abcc92f9186db
- Size of remote file:
- 5.24 GB
- SHA256:
- e42318cd66283b60ae9967951e16f0c3981574161e2b524a14dcd59b09bd9ac0
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