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curl -H "Authorization: Bearer $ABL_KEY" \
"https://abliteration.org/api/v1/models/nkpz%2Fgemma-2-9b-it-Uncensored-DeLMAT" No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.
What is a refusal direction? →| Benchmark | Score | Source |
|---|---|---|
| Arena-Battles | 57197 | LM-Arena |
| LM Arena Elo | 1213.1643043935535 | LM-Arena |
| Arena-Elo-Lower | 1209.7180045436323 | LM-Arena |
| Arena-Elo-Upper | 1216.6106042434747 | LM-Arena |
| Arena-Rank | 140 | LM-Arena |
This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.
| model-00003-of-00004.safetensors | 4.62 GB | 776f9372 | download |
| model-00002-of-00004.safetensors | 4.61 GB | 3bc72496 | download |
| model-00001-of-00004.safetensors | 4.57 GB | 5027da78 | download |
| model-00004-of-00004.safetensors | 3.42 GB | d0018903 | download |
| tokenizer.json | 32.8 MB | 5f7eee61 | download |
| tokenizer.model | 4.04 MB | 61a7b147 | download |
| tokenizer_config.json | 45.9 KB | cd33d67c | download |
| model.safetensors.index.json | 38.2 KB | 43bf0e42 | download |
| .gitattributes | 1.53 KB | 52373fe2 | download |
| config.json | 916 B | 3ed30957 | download |
| special_tokens_map.json | 522 B | 0acb52c8 | download |
| README.md | 369 B | 1c2b665c | download |
| generation_config.json | 190 B | aa2c0e1a | download |
license: gemma
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
Very happy with how this turned out. Guardrails yeeted straight into the void.
The author's README evolved over time. Click a version to see its content at that point.
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