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:
- bf2f35ccd99e0fa520842f7a70d6d83dbeb3434e2b685bf2c578591d02d729b0
- Size of remote file:
- 5.12 GB
- SHA256:
- e73350534839bea582fbf1eada81ef89d2ea17d02f3ca7d33c94e762e25d3f07
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