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:
- 419aeb22f56a43c122a1d31bcda2a55549790fa7cf788ab713fa6979a56eff14
- Size of remote file:
- 5.45 GB
- SHA256:
- e0508d9cae8ef22b5845f455a2e611c4bd34cf20891e55840f5b1d2449fd8280
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