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:
- 5ecf823b15ddffebaa85fad2121af1a986f32f1f89d32e41a0f5f06e349d3630
- Size of remote file:
- 5.06 GB
- SHA256:
- 011ff94deaf57ec8a0f3e156ac07858c5498ab7152198685ed974178ffb36919
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