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:
- c36337df4d609491784c1fbeecb1910a578f72e6f3047ac310f1076f7c08f4d9
- Size of remote file:
- 45.1 GB
- SHA256:
- 61ac6278e4aa7127f145d1c03edfa190e0ea8d59ea9c102fb3224b1480062bee
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