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:
- 4924abbd82769495b9fdf63420fe5ee2beb2f2d970c41b8475541dea6c6d0eae
- Size of remote file:
- 5.45 GB
- SHA256:
- 96392c7967fc6daae4b7fe89cf9813fb1b41d8dce3815383255ba1304a16aeea
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