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curl -H "Authorization: Bearer $ABL_KEY" \
"https://abliteration.org/api/v1/models/nkpz%2FFalcon3-Jessi-v0.4-7B-Slerp-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 | 4.60 GB | 80121f92 | download |
| model-00001-of-00004.safetensors | 4.60 GB | c7c503ff | download |
| model-00003-of-00004.safetensors | 3.93 GB | e822b512 | download |
| model-00004-of-00004.safetensors | 768 MB | 6e5cec84 | download |
| tokenizer.json | 9.33 MB | 4b569314 | download |
| tokenizer_config.json | 356 KB | 66f0a37d | download |
| model.safetensors.index.json | 20.5 KB | e08d23a8 | download |
| .gitattributes | 1.48 KB | a6344aac | download |
| special_tokens_map.json | 718 B | 9ab26102 | download |
| config.json | 716 B | e5030a32 | download |
| README.md | 388 B | 20d9227a | download |
| generation_config.json | 113 B | 605e97de | download |
license: mit
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
This is a stubborn base model! Tough one, but I think I mostly broke its refusals.
The author's README evolved over time. Click a version to see its content at that point.
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