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wesley7137/Llama-2-13B-Nous-Hermes-vicuna-uncensored-mastermod-spych
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- classification m-uncensored
- files 15
- hub_downloads_all_time 614
- author_summary 7 models
- readme_text full
Abliteration classifier · v1.0.0
M-U
Primary method
Uncensored (method unknown)
No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
- '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
Refusal direction extraction
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? → Downloads · lifetime
614
32 last 30d
- cooling
Likes
5
Model age
3.2y ago
created 2023-07-31
Downloads over time
Jul 24, 2024 → Oct 11 · 155 snapshots · spans 809 days
Metadata
Related
Files by quantization
Auxiliary files 15 files 10.9 GB
| pytorch_model-00001-of-00002.bin | 9.28 GB | ec32dd5c | download |
| pytorch_model-00002-of-00002.bin | 1.53 GB | d924bbe3 | download |
| adapter_model.bin | 50.1 MB | c2f7bae8 | download |
| training_args.bin | 4.00 KB | 06f4df1e | download |
| tokenizer.json | 1.76 MB | 0b6f15e8 | download |
| tokenizer.model | 488 KB | 9e556afd | download |
| pytorch_model.bin.index.json | 55.0 KB | 4afc9274 | download |
| .gitattributes | 1.48 KB | a6344aac | download |
| config.json | 979 B | fca8e462 | download |
| tokenizer_config.json | 695 B | 8f2f20d2 | download |
| adapter_config.json | 497 B | c450fb8e | download |
| special_tokens_map.json | 411 B | d85ba6cb | download |
| generation_config.json | 175 B | d71519fb | download |
| README.md | 120 B | 1760585b | download |
| added_tokens.json | 21.0 B | 9c16aa4b | download |
README
README history
The author's README evolved over time. Click a version to see its content at that point.
2023-08-01Upload folder using huggingface_hub
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