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:
- 477b3e7e83a46e58447bd2bdd2cdfb5a5a80e40aa2b39785ac699cac94e23e80
- Size of remote file:
- 5.45 GB
- SHA256:
- d73f91103ad364635184d9651057ec17d0415ea7dac76f713464a37b10667011
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