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:
- ed66b2b654578a9da93bbe811e71e23aec580c0a178b09824fa365f68e54662a
- Size of remote file:
- 5.45 GB
- SHA256:
- 2a4bcfc95b5799a51c36ec64b0b644a6bc26de91366b0a5a27f7ccd734598d96
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