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:
- 4a0fa815be5cf33b0ad2e83ba762acb90dc85f546187dd7adaccaf878e42c1c8
- Size of remote file:
- 5.45 GB
- SHA256:
- fd007c8f014c5e63c554c6b504b20a0bf31f4b85778b0dc72b0d82a567d1b850
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