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:
- dc55b1e082380a9a2858c0c65ff60ec47f6ac33c3f1ed747fdb5ae5a10fdbacb
- Size of remote file:
- 39.7 GB
- SHA256:
- 730af270b2730974bc56d36cf09af159ba96ffd8f94a3aeb73cd561eeccad000
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