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:
- 1b0e37fce8229b621a0d2979b2e59402bed69f4d7ac1741141c3c8f69c01bbd3
- Size of remote file:
- 39.7 GB
- SHA256:
- 940a26b85679827c3a76134bcf238b1a3bfbdc379cae557526a374a156be3baa
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