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:
- 60e06696e8d4496a3e177f4af5182172fb5e7496c6db2a560737a17e85bc40e7
- Size of remote file:
- 44 GB
- SHA256:
- 8d1633d27dbbd53dadf27aae8c66be597de493d3923a0568cfe4b4683fdd5fea
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