player1537/Bloom-560m-trained-on-Wizard-Vicuna-Uncensored
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"https://abliteration.org/api/v1/models/player1537%2FBloom-560m-trained-on-Wizard-Vicuna-Uncensored" - classification m-uncensored
- files 12
- hub_downloads_all_time 653
- author_summary 3 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 12 files 2.10 GB
| pytorch_model.bin | 2.08 GB | df699106 | download |
| adapter_model.bin | 3.02 MB | c8ac5f77 | download |
| training_args.bin | 3.87 KB | 86546b2c | download |
| tokenizer.json | 13.8 MB | 17a20823 | download |
| samples.json | 23.2 KB | 62e34e80 | download |
| .gitattributes | 1.85 KB | 65f86f6b | download |
| config.json | 784 B | 922a7fe6 | download |
| adapter_config.json | 336 B | bb7e1747 | download |
| tokenizer_config.json | 286 B | 612d97d5 | download |
| generation_config.json | 132 B | c29e337c | download |
| special_tokens_map.json | 96.0 B | fdafe480 | download |
| .gitignore | 13.0 B | 0348ea97 | download |
README
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README history
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Discussions
2023-09-11PRAdding `safetensors` variant of this model
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