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:
- 840762d0872fd4ba20990e0c204d7711ba85a4bbed4ad08a027cd40a4a883d88
- Size of remote file:
- 47.2 GB
- SHA256:
- 2b82b086b4be192e7ae9dc39d5eb0b034f317dec6fc41da6986d4058d8dd16e1
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