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:
- edeb5e8576428d5de2ae6d4a8ed61d700b25b3f882ebc554fadee2d9a3efbdc0
- Size of remote file:
- 42.9 GB
- SHA256:
- b405de9995a35536317af8b9c2f01428227eb043b8d0f95d4748c1b8932d46ad
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