Rupesh2/Meta-Llama-3-8B-uncensored
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"https://abliteration.org/api/v1/models/Rupesh2%2FMeta-Llama-3-8B-uncensored" - classification m-uncensored
- files 9
- hub_downloads_all_time 223
- author_summary 13 models
- readme_text full
Uncensored (method unknown)
Why this label 3 signals
- 'uncensored' in name/tags but no 'abliterated' marker
- method not identifiable from author declaration alone
- may be DPO fine-tune, prompt engineering, or unknown technique
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? →Metadata
Related
Files by quantization
Auxiliary files 9 files 15.0 GB
| pytorch_model-00001-of-00002.bin | 9.29 GB | 86fe3f2a | download |
| pytorch_model-00002-of-00002.bin | 5.67 GB | b915dfb9 | download |
| tokenizer.json | 8.66 MB | fbcb83ff | download |
| tokenizer_config.json | 49.4 KB | 72193e9e | download |
| pytorch_model.bin.index.json | 26.2 KB | 2d48337e | download |
| .gitattributes | 1.48 KB | a6344aac | download |
| config.json | 718 B | 139f8a64 | download |
| generation_config.json | 172 B | 6ad9b2f8 | download |
| special_tokens_map.json | 107 B | 223e328e | download |
README
The author did not publish a README.
Discussions
2025-04-26PRAdding `safetensors` variant of this model
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