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:
- 96c405032df886e9a8350a8d7ec296e5123698bb85c895ea478abaa848c33ebf
- Size of remote file:
- 5.44 GB
- SHA256:
- 662647c7c6ea0c8c070a2ee3fd1b58292c56f3a2943d0bb649a46bf2d2d38111
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