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:
- 1c9fedbababa8f97eb1c4f50adb1c1a9831fae9ecbc3911f35441803e83cfb01
- Size of remote file:
- 40.8 GB
- SHA256:
- a5c756fed3145cc5a6609ae7df0122ea51a75f484db7e19b8604f76f367af779
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