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:
- bee8b3c06ef5e65471bac5c0599da7e0628a97f5b312e4731bf2e624f5c0091e
- Size of remote file:
- 40.1 GB
- SHA256:
- d6e146f14fce143066c912f01c108d3429e636b7ccaa1d1ebbea9c430e3f70ab
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