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:
- ca880c6bc66d15995b9782bb14c0ce3a8a2a582759192aa9838289fd5d2bc64f
- Size of remote file:
- 5.45 GB
- SHA256:
- 0ef67635ed646550fde7eef95d6f4ae13870aebbf1673576d0114269fe10f895
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