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:
- ea793c72bace7931482ab0de0289baa0af10876ee6c7fbd8ca31aee9ad187012
- Size of remote file:
- 47.2 GB
- SHA256:
- ebac838f1a41bb3fde4df7703594c6b2ea53433daea0f400d26328178a9858bd
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