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:
- 202faed91bc61f24706b1fbf1585b604b04cd84352e94a0bdb90f6244e1f8db5
- Size of remote file:
- 44 GB
- SHA256:
- 51accfe16581b7976a5c8aef92eee44c3eaf9a8449156f4f43dd856f15014e45
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