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:
- c1c1e4681f30437af9bf948dcefa4b7ecbb0c10d889d65392ca73c0c262b25f8
- Size of remote file:
- 34.4 GB
- SHA256:
- 8c8f373d046da6f32bfc696db52f4e09ed565c1778985d2be10fa1f35112f0fb
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