Instructions to use latent-variable/Qwen3.5-122B-A10B-oQ4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use latent-variable/Qwen3.5-122B-A10B-oQ4 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen3.5-122B-A10B-oQ4 latent-variable/Qwen3.5-122B-A10B-oQ4
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- Xet hash:
- 1b3b24effcbc6700f453389d27724c76f36b30a76f55e9030aa35e54027047b8
- Size of remote file:
- 5.27 GB
- SHA256:
- 72b99f817a8b3802a9e8c6c6db7110718ed79e9c7be642b0d5b5912c47745d11
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.