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:
- 3577bbe888f5294da39f5ecaf9d318102ee7ccaa68aafcd01bbf7fec51a78f9e
- Size of remote file:
- 5.45 GB
- SHA256:
- 21fa75d701477ba2b65fd24113bb0ab1ab1ec1480456403bbda72354b7a6d71a
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