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:
- 9dd3ed72900d758523d70f5a06d70f3e6fde72208a46c14fd706c1ade9d0ee9f
- Size of remote file:
- 43.7 GB
- SHA256:
- 955790bfd346451ec8305d570b6ab40ae3d3e2d95f9b8c79191fb890dc0ce39c
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