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:
- f502c36b18f90d56ddb41401a16be16ab24101cd69fa2e8d204284630a4f3a37
- Size of remote file:
- 42.9 GB
- SHA256:
- 98b3487c7f89adafa0fb3ee26bb743a5585508a4470b85129bbaf7daae07e6c5
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