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:
- 19edd646c5b2f88c07512960b983c4c4ce86ca499ec51030c3c42a1e0bf9de63
- Size of remote file:
- 42.5 GB
- SHA256:
- 1f3f5b95849774f028a96441b31c7b33fac44b825d68f7e4e666e8884eb938bb
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