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:
- 8916587cda3daa67e5137bd9612d21c5b67f0cfbc7e9d52f361216bbd6be5ee8
- Size of remote file:
- 49.4 GB
- SHA256:
- ba7552dc37b73ba849228006faa635de9204e8f1a863962b00aae6ab31b16ba5
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