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agapeeva/qwen2.5-1.5b-instruct-abliterated-dpo-ru

agapeeva Qwen 1.5B
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  • classification m4
  • files 10
  • author_summary 2 models
  • readme_text full
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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.

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Downloads · 30-day
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Model age
5mo ago
created 2026-04-28
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Apr 29 → Oct 12 · 64 snapshots · spans 166 days

Metadata

Tags
transformers safetensors arxiv:1910.09700 endpoints_compatible region:us

Related

Total size
70.5 MB
Files
10
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-04-28 16:27

Files by quantization

Auxiliary files 10 files 85.6 MB
adapter_model.safetensors 70.5 MB 9aa77375 download
tokenizer.json 10.9 MB 9c5ae00e download
vocab.json 2.65 MB 4783fe10 download
merges.txt 1.59 MB 31349551 download
tokenizer_config.json 7.13 KB 8adf747c download
README.md 5.05 KB bc5f30d6 download
.gitattributes 1.53 KB 52373fe2 download
adapter_config.json 738 B 1310082b download
special_tokens_map.json 613 B ac23c0aa download
added_tokens.json 605 B 482ced46 download

README current version from Hugging Face


library_name: transformers
tags: []

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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README history 1 version

The author's README evolved over time. Click a version to see its content at that point.

  1. 2026-04-28DPO LoRA adapter on top of abliterated model (re-aligned)74cf04c5.1 KB
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