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:
- 887b58dd761a887fe6ec358b7743896187e137b5a3e934ace1c6f8bafd26feeb
- Size of remote file:
- 40.1 GB
- SHA256:
- 93521735116d41265956c7d964e59c32c5b8c0957573410735fd57633c3a8edb
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