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:
- 62e5a4959dc33b4e48f5ff222576671fe8b7d8dc5bdaded68a7ffe9a7fd51d02
- Size of remote file:
- 5.44 GB
- SHA256:
- f6e218a736a925407f0d9f1f8461173141526af225af33853165e82b55845de8
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