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:
- 6c18fc6cf3768e52d205e7c54606e7522b8b26be0437a15fdb3c7b0326d6d1f0
- Size of remote file:
- 44 GB
- SHA256:
- 931ac84e91610dc13118c5305692219acd28943503d7057fff9ebe0b9d0c8888
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