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:
- 37c0741f0d09e5670aa5936e716d1b2ce74bb5c0d4a717f1404203881c199ede
- Size of remote file:
- 49.4 GB
- SHA256:
- 84e697f99591553b30df65acab02e0f5e9f156680b89d0d0f44e48b48a61d112
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