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:
- d766647ab7394bb225c1f2828c9186fddd3e854b5db36c4ef7b265bbdf863e1b
- Size of remote file:
- 5.45 GB
- SHA256:
- a484486c4f25a8377df2e2e410ed4041d5fd89aee3b88147588833dab1b3b771
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