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:
- 13f2d5023e54b0af6eddcf35de5b36ca7a9dbbb3e79c90ef95fb023a4721948b
- Size of remote file:
- 5.01 GB
- SHA256:
- aa30f15272c42be549dc8ca1d1e8e34a32d3a898a5baf6df8abd531c70674716
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