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:
- e113685f8f1524ea276398a451515733a0da132a2556d1737f466283ee0e830d
- Size of remote file:
- 39.7 GB
- SHA256:
- 6cdbdf79548900cd4f42472c586dd251a7a3699d46aaeb4fc3da8720da28e348
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