library_name: transformers
tags:
- Distill
base_model: - deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
DeepSeek-R1-Distill-Qwen-1.5B-Abliterated-dpo
dpo trained- to recoupe some of abliteration loss
akshitaitsolutions/DeepSeek-R1-Distill-Qwen-1.5B-Abliterated-dpo
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"https://abliteration.org/api/v1/models/akshitaitsolutions%2FDeepSeek-R1-Distill-Qwen-1.5B-Abliterated-dpo" Response includes
- classification m4
- files 8
- author_summary 1 models
- readme_text full
Abliteration classifier · v1.0.0
M4
Primary method
Abliterate + heal
Applied on top of direct removal inherited from the base model.
Confidence
LOW
Inherited from base model
Why this label 2 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
- 'healed'/'orpo'/'dpo' in name suggests heal step after abliteration
- M4 = abliterate + heal pipeline
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
today
created 2026-10-23
Genealogy
Full fork graph →This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.
Metadata
Related
Source huggingface.co/akshitaitsolutions/DeepSeek-R1-Distill-Qwen-1.5B-Abliterated-dpo ↗ Base model deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B ↗
Files by quantization
Auxiliary files 8 files 3.32 GB
| model.safetensors | 3.31 GB | 2f33ab49 | download |
| tokenizer.json | 10.9 MB | a4256422 | download |
| tokenizer_config.json | 6.70 KB | 12a18d88 | download |
| .gitattributes | 1.53 KB | 52373fe2 | download |
| config.json | 766 B | cc8906ca | download |
| special_tokens_map.json | 485 B | 1d385d62 | download |
| README.md | 206 B | 3a7d6024 | download |
| generation_config.json | 181 B | b6f949be | download |