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:
- 00ed2c093f7df28b6092610185081310adfe73bf6f4e49fce112f756b9f4f52e
- Size of remote file:
- 40.2 GB
- SHA256:
- 332d57dbbfc40db3334df9b692ae08505b5faca9412468dc85aee2bff07d4e52
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