license: mit
使用spicy中的unalign类型的数据集，然后人使用google翻译又做了一份中文的。两份数据跑了3个epoch。
这个LoRA主要是想测试unalign 183条数据集是否就能搞定模型去对齐的能力。
zgce/Skywork-13B-unalign-lora
zgce 13B
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"https://abliteration.org/api/v1/models/zgce%2FSkywork-13B-unalign-lora" Response includes
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Abliteration classifier · v1.0.0
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Primary method
Unclassified
No clear signals of an abliteration technique in this model.
Confidence
UNKNOWN
Why this label 1 signal
No classification signals present. This may not be an abliterated model at all - it could be a repackaging, a merge with unrelated goals, or unrelated content that mentions the term.
- no classification signals present (no abliterated, uncensored, or known producer/method markers)
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 · 30-day
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Model age
2.8y ago
created 2023-12-09
Downloads over time
Jul 24, 2024 → Oct 11 · 155 snapshots · spans 809 days
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Auxiliary files 14 files 1.09 GB
| adapter_model.bin | 1.09 GB | ae4940e0 | download |
| training_args.bin | 4.62 KB | e82a499b | download |
| tokenizer.model | 971 KB | 36ec9a4d | download |
| training_loss.png | 64.0 KB | 5b92dc5e | download |
| trainer_log.jsonl | 35.1 KB | 2e330596 | download |
| trainer_state.json | 17.5 KB | f9abd2ec | download |
| tokenization_skywork.py | 10.3 KB | ac378d77 | download |
| .gitattributes | 1.48 KB | a6344aac | download |
| tokenizer_config.json | 1021 B | e7ae9eae | download |
| adapter_config.json | 579 B | 80f7cb35 | download |
| special_tokens_map.json | 434 B | 1e1a9978 | download |
| README.md | 247 B | 29d1b3d9 | download |
| all_results.json | 166 B | 6ffc9e95 | download |
| train_results.json | 166 B | 6ffc9e95 | download |
README
README history
The author's README evolved over time. Click a version to see its content at that point.
2023-12-09Update README.md
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