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:
- cfee7e5b0bb67e305e6727aa21a2776735833793804a76a559a6cf1eed645c08
- Size of remote file:
- 5.23 GB
- SHA256:
- e7d0a8ee75927cd25fe01fa69e696de0ef5def1128b05c25f41ae9c352fd1d25
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.