Instructions to use mradermacher/GLM-4.6-REAP-218B-A32B-Derestricted-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mradermacher/GLM-4.6-REAP-218B-A32B-Derestricted-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mradermacher/GLM-4.6-REAP-218B-A32B-Derestricted-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dddff6220b727fb400e2be10b785e4f562d24047f4ca1dff68308bdc6b4cdedd
- Size of remote file:
- 47.2 GB
- SHA256:
- 2cf7d803b94be30a5bfefd5fd7fbc94340b312d2c05bcaf23fa3471f1d077d6d
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