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:
- 19f39241575a1e0bf304fa6cda7e3a466c2be86ed98475a7ce51a71af2adea14
- Size of remote file:
- 5.45 GB
- SHA256:
- 1e6b54316a8fa4f726150f4faffa219fadfeba0f4a5d93a5eb353c4d26a0efc0
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