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:
- 011e44dc7ae065114691304caa426430bf0939120df2bb7bf9704b4fc8ec2caa
- Size of remote file:
- 37.6 GB
- SHA256:
- 350a3f26c3cc02d78c93061f7edccb75e1c0791dc92da31fda05ecdd4d3dca30
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