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:
- ee5f9ef7d2fba81355f2383c4e2602d7c0f76139a040a6db074b480fb1b7e56d
- Size of remote file:
- 5.45 GB
- SHA256:
- 747b3648cdd466805528d1b04b54191f131853aeef9da4fafe638ddc1f31ce64
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