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:
- a8299bc1629fdcc68409ed5902d2fac569db47df5f2aa4b0375051892823b0d3
- Size of remote file:
- 41.9 GB
- SHA256:
- 750fa68d184a265264e5d33084c664d2fec255c25966875e291feb1567fd2da3
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