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:
- 717d54f12ff96871c67cd1db97b39ddd2edbe26c2d79815d0aaa25163975a3c7
- Size of remote file:
- 45.1 GB
- SHA256:
- 5e3f09b3df4f95f0e9901553c876e2b365eeb0de687fce104233d1d26b3cfb30
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