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:
- 9a0a6fdb3f92b53cfb1d72bcca4a80a1ce54415c572412fa6f0aeb83ee6a7e2f
- Size of remote file:
- 35.4 GB
- SHA256:
- 3bd97a915e1ec6d1a9d348bb1b5d5f5ca06b8f8777910df28848f9b708d3e00b
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