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:
- bd010a46b19c16bb8320645c6a991b1eef11ea6ecae7cf704f16e7b51783e648
- Size of remote file:
- 36.2 GB
- SHA256:
- 151091393eb29e44b06c1079bf92691c792ffa8dd200d8f7aa7fdae644b44605
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