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:
- 2c47857169a2dd7f4d24a5e81c98806641e65a3e73eb28fdded63fca3e8bec98
- Size of remote file:
- 49.4 GB
- SHA256:
- b2ce78b90df8efc0446fc26eb5bb7af2d6d6ba9773bf5423dfbfee1816e32691
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