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:
- 0d134e44d2be8297527965267a5811f26910b9abe8821ad94e955789091b4e1a
- Size of remote file:
- 5.44 GB
- SHA256:
- cb6ca7076116287d96fc908ecfe1d573b6ba6ba288f8252c4211e410335672f4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.