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:
- 7c05d5d1c7e9dce0573cbc5f67fca3f5ae7e1cac6453f22ececc025f945a67f6
- Size of remote file:
- 38 GB
- SHA256:
- 8d42d2496470c543f6dde308429221d64bec2ba3a3c58d62eb7f0268f800018f
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