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:
- 69fedbe69f1339d34138e293d4a5f8058c400e0d003c4be718099f222b95c416
- Size of remote file:
- 5.02 GB
- SHA256:
- 6e7c38f5d25c6a509761eb45e91d812d131388c1d8f865237bcd3f1580543bc6
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