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DPGorbunov/qwen3-1-7b-abliterated-ru

DPGorbunov Qwen 1.7B
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Response includes
  • classification m1
  • files 12
  • hub_downloads_all_time 42
  • author_summary 1 models
  • readme_text full
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Abliteration classifier · v1.0.0
M1
Primary method

Direct removal

No other method signals detected in this model.
Confidence
MEDIUM
Why this label 3 signals
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
  • 'abliterated' in name/tags
  • is_gguf=0 (base model)
  • no specific method indicators - defaulting to M1 (most common)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
MEDIUM
Why we say so
primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
Downloads · lifetime
42
5 last 30d - stable
Likes
0
Descendants
1
in 1 direct fork
Model age
5mo ago
created 2026-04-25
Downloads over time
Now43→from0↑0%
01632470 on Apr 2243 on Oct 1143 on Oct 9AprMayJunJulAugSepOct
Apr 22 → Oct 11 · 64 snapshots · spans 172 days

Genealogy 1 direct fork

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

Tags
safetensors qwen3 region:us
Total size
3.20 GB
Files
12
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-04-25 09:54

Files by quantization

Auxiliary files 12 files 3.22 GB
model.safetensors 3.20 GB cbcf1a49 download
tokenizer.json 10.9 MB 67cc0080 download
vocab.json 2.65 MB 4783fe10 download
merges.txt 1.59 MB 31349551 download
tokenizer_config.json 5.28 KB ddaf6980 download
chat_template.jinja 4.07 KB 01be9b30 download
.gitattributes 1.53 KB 52373fe2 download
config.json 1.33 KB 52844a0d download
README.md 1.32 KB 7667d38f download
added_tokens.json 707 B b54f9135 download
special_tokens_map.json 613 B ac23c0aa download
generation_config.json 214 B be89f8af download

README current version from Hugging Face

Qwen3-1.7B - abliterated (ru)

Аблитерированная версия Qwen/Qwen3-1.7B, обученная в рамках ДЗ курса NLP ИТМО.

Метод. Поиск refusal direction через усреднённую разницу активаций residual stream на harmful и harmless промптах (256 примеров каждого класса из masterkristall/harmful_behaviors_ru и masterkristall/harmless_alpaca_ru). Ортогонализация embed_tokens (с учётом tied word embeddings - ортогонализация переносится на lm_head.weight), o_proj и down_proj всех слоёв относительно выбранного направления.

Внимание. Модель намеренно модифицирована так, чтобы не отказываться от ответов на harmful-запросы. Используется только как промежуточный шаг учебного пайплайна safety - последующее DPO-дообучение восстанавливает безопасное поведение.

  • Base: Qwen/Qwen3-1.7B
  • dtype: float16
  • layers modified: embed_tokens (+tied lm_head) + o_proj + down_proj (все блоки)
  • training set size: 256 harmful + 256 harmless

README history 1 version

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

  1. 2026-04-25abliterated Qwen2.5-0.5B-Instruct (ru)eb9d6941.3 KB
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