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Syidone1/Qwen2.5-0.5B-Instruct-abliterated-ru-dpo-lora

Syidone1 Qwen 500M
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  • classification m4
  • files 7
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  • 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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Model age
3mo ago
created 2026-06-23
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Metadata

Tags
transformers safetensors arxiv:1910.09700 endpoints_compatible region:us

Related

Total size
16.8 MB
Files
7
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-06-23 09:54

Files by quantization

Auxiliary files 7 files 27.7 MB
adapter_model.safetensors 16.8 MB ecc34b40 download
tokenizer.json 10.9 MB 3fd16973 download
README.md 5.05 KB bc5f30d6 download
chat_template.jinja 2.45 KB bdf7919a download
.gitattributes 1.53 KB 52373fe2 download
adapter_config.json 1.10 KB 031c7652 download
tokenizer_config.json 798 B 1f8d0780 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. 2026-06-23Upload model45244bb5.1 KB
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