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:
- a31646a7f416a28773128b419eba361a74e3d5b86287b94c166398cc43539399
- Size of remote file:
- 5.45 GB
- SHA256:
- 34f7fa809e8f64d234a4a7b15b8f25f2cfd0efd28ad0744b1f2d38a8f98b8019
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