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:
- 9cd9a72338ba90fef161e904e6cff8d9354604746d2339420467b574e09c9a75
- Size of remote file:
- 688 MB
- SHA256:
- 5d08cdb6d09e9db9fbcd2d46620b8e84dc4eac6bc1f46e2758d3105b58023498
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