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| model-00002-of-00004.safetensors | 4.60 GB | 692293b4 | download |
| model-00001-of-00004.safetensors | 4.60 GB | 32bf9cd9 | download |
| model-00003-of-00004.safetensors | 3.93 GB | 8fc223d1 | download |
| model-00004-of-00004.safetensors | 768 MB | 6e5cec84 | download |
| tokenizer.json | 9.33 MB | 08c336b4 | download |
| tokenizer_config.json | 357 KB | 94a0f396 | download |
| model.safetensors.index.json | 20.5 KB | e08d23a8 | download |
| .gitattributes | 1.48 KB | a6344aac | download |
| config.json | 738 B | 4b3b5b64 | download |
| special_tokens_map.json | 718 B | 9ab26102 | download |
| README.md | 305 B | f9b82868 | download |
| generation_config.json | 160 B | a6d3fd71 | download |
license: llama3.1
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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