Instructions to use mradermacher/GLM-4.5-Base-i1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mradermacher/GLM-4.5-Base-i1-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mradermacher/GLM-4.5-Base-i1-GGUF", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0b806b4acc36c0668a75552a8852c6962629ad38c96b8c261df01b4aed3c9b4
- Size of remote file:
- 48.3 GB
- SHA256:
- 26c0ee8e44b4483600d2fa2b628346e14b50e6eb103d445d71a6ae902a09a2f6
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