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:
- 66224e9fb71df4c937a6260b51f84e61113dcbc3b46bf4a5c8adbc1c25947f02
- Size of remote file:
- 38.7 GB
- SHA256:
- f574c515f10a75c5d6fc4f159819a41499cc8fa95a53309db01aa5755d25e1be
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