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:
- f37e56318c357536354d5b83a37e0f9c77bbf3d454aae8da7d6cb01dffa14919
- Size of remote file:
- 42.9 GB
- SHA256:
- 8ff6a18057986dd7601b062b9b5b77cd3e6fbfc06be1a8cfe3566e3ff597e9c1
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