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:
- b7235f9087446710c7d1df3434d23e7141ba8f20ef67af549435ff6b1ad6367a
- Size of remote file:
- 5.45 GB
- SHA256:
- db7617e4042e8c6426d4968f7a62b7f6a7a891c7d4b04ee6fe8adea4a60d6250
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