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:
- d08f0914ef01c66e1574c69cf3ada30a8568aae701d19259b1d2a33311cb34e8
- Size of remote file:
- 35.6 GB
- SHA256:
- 14deab9c3b2a542b70fb0a6ea5db90d39e97df017ad483b48bc8af7174170534
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