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:
- 2fb9eb2bb8aaba5c82ad3c845785622e2aecd788bd74527ae08275d49a2956bc
- Size of remote file:
- 5.44 GB
- SHA256:
- 61740613fbde722b6a5a60f5d08e4ca6463a9c291a860e90f7e225d7e6d94ed8
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