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123yaroslav/Qwen2.5-0.5B-abliterated-dpo-ru

123yaroslav Qwen 500M second-order
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Response includes
  • classification m4
  • files 16
  • hub_downloads_all_time 26
  • author_summary 2 models
  • readme_text full
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What "m4" means · taxonomy
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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
M1 Direct removal →
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
How we label → About M4 →
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 · lifetime
26
15 last 30d - active
Likes
0
Model age
5mo ago
created 2026-04-28
Downloads over time
Now33→from13↑154%
1220273513 on Apr 2933 on Oct 11AprMayJunJulAugSepOct
Apr 29 → Oct 11 · 63 snapshots · spans 165 days

Genealogy 0 direct forks

Full fork graph →

This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

123yaroslav/Qwen2.5-0.5B-Instruct-abliterated-ru↓ 55 this lineage
123yaroslav/Qwen2.5-0.5B-abliterated-dpo-ru↓ 15

Metadata

Tags
peft safetensors base_model:adapter:123yaroslav/Qwen2.5-0.5B-Instruct-abliterated-ru dpo lora transformers trl text-generation conversational arxiv:1910.09700 base_model:123yaroslav/Qwen2.5-0.5B-Instruct-abliterated-ru region:us

Related

Other by 123yaroslav
Qwen2.5-0.5B-Instruct-abliterated-ru 55
Total size
101 MB
Files
16
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-04-28 00:27
Source huggingface.co/123yaroslav/Qwen2.5-0.5B-abliterated-dpo-ru ↗ Base model 123yaroslav/Qwen2.5-0.5B-Instruct-abliterated-ru →

Files by quantization

Auxiliary files 16 files 116 MB
optimizer.pt 67.4 MB 1737844d download
adapter_model.safetensors 33.6 MB b357e4b6 download
rng_state.pth 14.3 KB 480389ce download
training_args.bin 6.52 KB 02d243dc download
scheduler.pt 1.43 KB ac7614fd download
tokenizer.json 10.9 MB 9c5ae00e download
vocab.json 2.65 MB 4783fe10 download
merges.txt 1.59 MB 31349551 download
trainer_state.json 8.76 KB 27ccd152 download
README.md 5.14 KB ea41009b download
tokenizer_config.json 4.58 KB eaed590d download
chat_template.jinja 2.45 KB bdf7919a download
.gitattributes 1.53 KB 52373fe2 download
adapter_config.json 1.08 KB 7f8f60ab download
special_tokens_map.json 613 B ac23c0aa download
added_tokens.json 605 B 482ced46 download

README current version from Hugging Face

base_model: 123yaroslav/Qwen2.5-0.5B-Instruct-abliterated-ru
library_name: peft
pipeline_tag: text-generation
tags:

  • base_model:adapter:123yaroslav/Qwen2.5-0.5B-Instruct-abliterated-ru
  • dpo
  • lora
  • transformers
  • trl

Model Card for Model ID

Model Details

Model Description

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Uses

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Bias, Risks, and Limitations

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Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

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Training Details

Training Data

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Training Procedure

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Evaluation

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Results

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Summary

Model Examination [optional]

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Environmental Impact

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

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Framework versions

  • PEFT 0.19.1

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 (checkpoint-60)223c6fd5.1 KB
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