license: apache-2.0
datasets:
- NobodyExistsOnTheInternet/ToxicDPOqa
language: - en
tags: - not-for-all-audiences
nueral-toxic-dpo
neural-chat-7b-v3-3 DPO'd on 1 epoch ToxicDPOqa by NEOTI.
My first trials with Axolotl.
antiven0m/nueral-toxic-dpo
antiven0m Mistral
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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
2.7y ago
created 2024-01-20
Training datasets
1 of 1 in /datasetsCorpora the author lists in the model card. Datasets tracked in our /datasets catalog carry a category badge linking to the workflow stage. Others open on Hugging Face.
Downloads over time
Jul 24, 2024 → Oct 11 · 155 snapshots · spans 809 days
Metadata
Files by quantization
Auxiliary files 11 files 13.5 GB
| pytorch_model-00002-of-00003.bin | 4.66 GB | 441f9229 | download |
| pytorch_model-00001-of-00003.bin | 4.60 GB | 8d22bf50 | download |
| pytorch_model-00003-of-00003.bin | 4.23 GB | a1acf7fe | download |
| tokenizer.model | 482 KB | dadfd56d | download |
| pytorch_model.bin.index.json | 23.4 KB | 76fccc20 | download |
| .gitattributes | 1.48 KB | a6344aac | download |
| tokenizer_config.json | 1.34 KB | 13ccde77 | download |
| config.json | 647 B | 7ca2259c | download |
| special_tokens_map.json | 510 B | ec015071 | download |
| README.md | 336 B | 5b98155e | download |
| generation_config.json | 116 B | 16923861 | download |
README
README history
The author's README evolved over time. Click a version to see its content at that point.
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