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:
- 109de01e187571a72d7162b6402183b943c1c497bd19916350d084c95b6adee4
- Size of remote file:
- 39.7 GB
- SHA256:
- d3280bc558c3a6ed90de01b0393dc66d70334610017b91bb32d5e9ee4e2003c5
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