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"https://abliteration.org/api/v1/models/nkpz%2FOpenThinker-7B-Uncensored-DeLMAT" No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.
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| model-00002-of-00004.safetensors | 4.59 GB | 2180f5ec | download |
| model-00001-of-00004.safetensors | 4.54 GB | a94ae41a | download |
| model-00003-of-00004.safetensors | 4.03 GB | cd20a358 | download |
| model-00004-of-00004.safetensors | 1.02 GB | 17622917 | download |
| tokenizer.json | 10.9 MB | ba0c439f | download |
| vocab.json | 2.65 MB | 4783fe10 | download |
| model.safetensors.index.json | 27.1 KB | 6ca5084b | download |
| tokenizer_config.json | 7.19 KB | 4c86d944 | download |
| .gitattributes | 1.53 KB | 52373fe2 | download |
| config.json | 722 B | fc2fe1c9 | download |
| added_tokens.json | 605 B | 482ced46 | download |
| special_tokens_map.json | 502 B | f58f102a | download |
| README.md | 301 B | 5a85a986 | download |
| generation_config.json | 243 B | 293b20f1 | download |
license: apache-2.0
base_model:
Decensored using a custom training script guided by activations, similar to ablation/"abliteration" scripts but not exactly the same approach.
The training script is released under the MIT license: https://github.com/nkpz/DeLMAT
The author's README evolved over time. Click a version to see its content at that point.
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