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:
- 26af21e263628df1f1feb95070b0173956e6bb841b5b8d0ea4ebb354a2b23fe5
- Size of remote file:
- 40.8 GB
- SHA256:
- ea94c8a321ea538f2b47ec970cc7b43053dd3b5f5b58d0bbb15ad41329ec6a5d
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