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YanLabs/gemma-3-4b-it-abliterated-normpreserve

YanLabs Gemma 4.3B
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Response includes
  • classification m1
  • files 18
  • benchmarks 16 entries
  • hub_downloads_all_time 710
  • author_summary 6 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
710
33 last 30d - cooling
Likes
5
Descendants
2
in 2 direct forks
Model age
10mo ago
created 2025-12-09
Downloads over time
Now726→from18↑3,933%
026653179718 on Dec 10, 2025726 on Oct 11Dec '25FebAprJunAugOct
Dec 10, 2025 → Oct 11 · 83 snapshots · spans 305 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
Arena-Battles 4321 LM-Arena
LM Arena Elo 1293.3101140666447 LM-Arena
Arena-Elo-Lower 1284.2314692781533 LM-Arena
Arena-Elo-Upper 1302.388758855136 LM-Arena
Arena-Rank 77 LM-Arena
Entertainment 1.3 UGI
Hazardous 1.2 UGI
Natural Intelligence 11.19 UGI
Political lean -19.3% UGI
Sensitive-Info 10.35 UGI
SocPol 0.6 UGI
UGI 16.9 UGI
Willingness (10) 3 UGI
W10-Adherence 1 UGI
W10-Direct 5 UGI
Writing 24.01 UGI

Genealogy 2 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.

Variants by this author 2 formats · 158 downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

Metadata

License
gemma
Tags
safetensors gemma3 text-generation conversational base_model:google/gemma-3-4b-it base_model:finetune:google/gemma-3-4b-it license:gemma region:us

Related

Total size
8.01 GB
Files
18
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-12-09 07:55

Files by quantization

Auxiliary files 18 files 8.05 GB
model-00001-of-00002.safetensors 4.62 GB 2323370b download
model-00002-of-00002.safetensors 3.39 GB 3566a92f download
tokenizer.json 31.8 MB 4667f208 download
tokenizer.model 4.47 MB 1299c11d download
tokenizer_config.json 1.10 MB 7bdd14f0 download
model.safetensors.index.json 88.4 KB 4b95241f download
README.md 2.30 KB 3c21a53e download
chat_template.json 1.58 KB 719b0cd0 download
.gitattributes 1.53 KB 52373fe2 download
gemma3-4b-it.yml 1.06 KB 9bf74285 download
.msc 1.06 KB 929f84d7 download
config.json 855 B fcdc8a6c download
special_tokens_map.json 662 B 1a619324 download
preprocessor_config.json 570 B b1e00fc1 download
generation_config.json 215 B 37a4c871 download
.mdl 69.0 B cb0ffb7a download
.mv 36.0 B 4271e280 download
added_tokens.json 35.0 B e17bde03 download

README current version from Hugging Face


base_model:

  • google/gemma-3-4b-it
    base_model_relation: finetune
    frameworks:
  • ""
    license: gemma
    pipeline_tag: text-generation

Gemma 3 4B Instruct - Norm-Preserving Abliterated

This is an abliterated version of google/gemma-3-4b-it using the norm-preserving biprojected abliteration technique.

⚠️ Warning: Safety guardrails and refusal mechanisms have been removed through abliteration. This model may generate harmful content and is intended for mechanistic interpretability research only.

Model Details

Model Description

This model applies norm-preserving biprojected abliteration to remove refusal behaviors while preserving the model's original capabilities. The technique surgically removes "refusal directions" from the model's activation space without traditional fine-tuning.

  • Developed by: YanLabs
  • Model type: Causal Language Model (Transformer)
  • License: Gemma Terms of Use
  • Base model: google/gemma-3-4b-it

Model Sources

Uses

Intended Use

  • Research: Mechanistic interpretability studies
  • Analysis: Understanding LLM safety mechanisms
  • Development: Testing abliteration techniques

Out-of-Scope Use

  • ❌ Production deployments
  • ❌ User-facing applications
  • ❌ Generating harmful content for malicious purposes

Limitations

  • Abliteration does not guarantee complete removal of all refusals
  • May generate unsafe or harmful content
  • Model behavior may be unpredictable in edge cases
  • No explicit harm prevention mechanisms remain

Citation

If you use this model in your research, please cite:

@misc{gemma3-4b-abliterated,
  author = {YanLabs},
  title = {Gemma 3 4B Instruct - Norm-Preserving Abliterated},
  year = {2025},
  publisher = {HuggingFace},
  howpublished = {\url{https://huggingface.co/YanLabs/gemma3-4b-it-abliterated-normpreserve}},
  note = {Abliterated using norm-preserving biprojected technique}
}

README history 1 version

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

  1. 2025-12-09Upload folder using huggingface_hubb9723c92.3 KB
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Discussions 1 thread

  1. 2026-02-10One of my favorites. Passes test requiring mental inference.open2 💬#1
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