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:
- 57ff2331042b41ba4f69f1c5499e3acc61d96c0fbacc0829b322e5bd4d690c6a
- Size of remote file:
- 5.45 GB
- SHA256:
- dd6f71c1c58ed5912f96a5617a9d99cfdf63c447b64879c9208ada32789a2dc2
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