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:
- 5369ca519a77702665e4109c84b0075421142bf937fd15107c98569b01b07a14
- Size of remote file:
- 5.45 GB
- SHA256:
- d4fbe510731e81012a073b11ce67f0f43e5f723659f25ac7bf6795328c975592
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