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knoveleng/Qwen3.5-4B-Uncensored

knoveleng Qwen 4.2B
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Response includes
  • classification m1
  • files 9
  • benchmarks 11 entries
  • hub_downloads_all_time 551
  • author_summary 10 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
551
189 last 30d - stable
Likes
1
Model age
7w ago
created 2026-08-20
Downloads over time
Now591→from8↑7,288%
02164336498 on Aug 19591 on Oct 11AugSepOct
Aug 19 → Oct 11 · 48 snapshots · spans 53 days

Benchmarks

Portrait before abliteration
Benchmarks of the base model as it stood before the refusal-removal operation. Compare with the numbers above to see what the operation cost.
Benchmark Score Source
Entertainment 0.9 UGI
Hazardous 1.2 UGI
Natural Intelligence 13.45 UGI
Political lean -17.3% UGI
Sensitive-Info 11.73 UGI
SocPol 1.5 UGI
UGI 15.32 UGI
Willingness (10) 2.2 UGI
W10-Adherence 1.5 UGI
W10-Direct 3 UGI
Writing 29.68 UGI

Genealogy 0 direct forks

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Metadata

Tags
safetensors qwen3_5_text abliterated orthex arxiv:2406.11717 base_model:Qwen/Qwen3.5-4B base_model:finetune:Qwen/Qwen3.5-4B region:us

Related

Total size
7.83 GB
Files
9
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-08-23 16:45

Files by quantization

Auxiliary files 9 files 7.85 GB
model.safetensors 7.83 GB 3d2409d9 download
tokenizer.json 19.1 MB 06b95093 download
evaluation_report.json 35.7 KB 5dfee32e download
chat_template.jinja 7.57 KB a585dec8 download
config.json 1.93 KB f894a46e download
README.md 1.68 KB 8767618c download
.gitattributes 1.53 KB 52373fe2 download
tokenizer_config.json 1.10 KB ed1f99f3 download
generation_config.json 116 B b23aa86d download

README current version from Hugging Face


base_model: Qwen/Qwen3.5-4B
tags:

  • abliterated
  • orthex

Qwen/Qwen3.5-4B (abliterated)

This model is a weight-level orthogonalized ("abliterated") version of Qwen/Qwen3.5-4B, produced with orthex — an implementation of the technique from Arditi et al., "Refusal in Language Models Is Mediated by a Single Direction" (NeurIPS 2024).

What was done

  • Architecture adapter: qwen3_5
  • Selected candidate: layer 31, site resid_pre
  • Ablation targets: embed_tokens, and every layer's attn_out and mlp_out — orthogonalized in place in the weights (not a runtime hook; this checkpoint behaves this way standalone, with no orthex dependency at inference time)

Evaluation

metric pre post delta
refusal rate 0.969 0.000 -0.969
perplexity 11.211 11.248 0.037

See evaluation_report.json in this repo for the full per-prompt breakdown (refusal_samples) and the ranked candidate list considered during selection (selection_report).

Responsible use

This model has had refusal behavior removed and may comply with requests the base model would normally decline. It is intended for red-teaming, robustness research, and model-behavior analysis. Usage remains subject to the base model's original license and usage policy — this repo does not grant any additional rights beyond what Qwen/Qwen3.5-4B's license allows.

License

Not set automatically — inherits obligations from the base model Qwen/Qwen3.5-4B's license; set this field explicitly before publishing.

README history 1 version

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

  1. 2026-08-20Upload abliterated model (orthex)19a23fd1.7 KB
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