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:
- 444a985c764f5d993300466748c62cd8af5245491b0c0a586832717fa32977da
- Size of remote file:
- 44 GB
- SHA256:
- cf060b9cf592860d3b1cadd7bacb9e1a350b0ebcd20d178c75f43176b23aa61a
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