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:
- b20375860c091e9aada5f446548bdf017381ff2e40dbe32ebc00d7f77d4b7979
- Size of remote file:
- 38.7 GB
- SHA256:
- 66c2b0101b367c9bf4f68ff3398fa460f666d0ba219cb7bba1c16bd932afe4e6
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