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:
- 99cadc604c151c0c8add1a3a79264863ab101f77f44401f31f1f2b045c80ce37
- Size of remote file:
- 40.8 GB
- SHA256:
- f8764fa18a0f25ef72c48db30748bb063cb1bba746b6c0a9a7006becef758616
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