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:
- a6afe9a3e580f92e40128f72f01124ee7791c0adf3666e75c1ca7841f36688b1
- Size of remote file:
- 47.1 GB
- SHA256:
- d3c9b97e44cb71f108aac0a19c128865e917fce8d1913dfe33ede3bcc30c98ab
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