Instructions to use Jundot/GLM-5.2-oQ4e-mtp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Jundot/GLM-5.2-oQ4e-mtp with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir GLM-5.2-oQ4e-mtp Jundot/GLM-5.2-oQ4e-mtp
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- 94eebf56c3815c3358cf084cf9a9c4a70216ce1e007116b18f6edd9a1fbccf71
- Size of remote file:
- 5.45 GB
- SHA256:
- d4960a1151e19a81d93e728c8417bdb40b7dda3d626efa8d2ded7dc786217951
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.