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:
- c5f9416de8011b34fba480c4ac53d5a671dd65fce98e6904b796755a62f50172
- Size of remote file:
- 5.75 GB
- SHA256:
- 3718f3bb60f577564a29e0d47b8701fd477d2c505075140c3ed616587aa9823f
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