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:
- d536601bacea7ae01c325604d701a6cbd840bdccdd14f6d1235044f92c4fdea8
- Size of remote file:
- 41.9 GB
- SHA256:
- 7be88e4ecf27717d993157e19b68e8cc2a2729b2ea4fa6bcfefdd817b0543b11
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