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:
- 047b9d5106f72299d9d8eddbbafc9ab61c851cab3864a03cba8179a66aac658f
- Size of remote file:
- 45.1 GB
- SHA256:
- 5fd0c50f1051ba13e2854619949b3470c9b0cdf52b70a8bcaf9a81736e7e9c52
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