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:
- 34a330936a8acf58e80004aec89471230d4c0adf176a4971e01fa2cd3fff7bb6
- Size of remote file:
- 39.7 GB
- SHA256:
- f3ff2c9487a1b767913fff9542a331e0d995dbad8a1a5c87adcdd8ab01276327
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