Instructions to use Jundot/Qwen3.5-122B-A10B-oQ4-mtp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Jundot/Qwen3.5-122B-A10B-oQ4-mtp with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen3.5-122B-A10B-oQ4-mtp Jundot/Qwen3.5-122B-A10B-oQ4-mtp
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- 72b1ff6b006624ef46f31e93b79f2ec4b1f9ce67dfd69a11024a96fc8c0977af
- Size of remote file:
- 2.72 GB
- SHA256:
- 7e1d7df9b142b817a2ead1baaa3943c0a9197591ec24c4de70744e2321f8a3ae
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