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:
- 77bb7df6549d9d18db94dd963692655cc7d98082743ccf0c33cfc02074371d77
- Size of remote file:
- 5.45 GB
- SHA256:
- 469fd36b23263692a6693b7fde220a926094ce25e7b0465175bbd78ea77a02b1
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