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eksil/gemma-3-27b-it-abliterated-normpreserve

eksil Gemma 27B
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Response includes
  • classification m1
  • files 25
  • benchmarks 16 entries
  • hub_downloads_all_time 47
  • 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
47
17 last 30d - stable
Likes
0
Model age
7mo ago
created 2026-03-02
Downloads over time
Now50→from13↑285%
1125405413 on Mar 450 on Oct 1150 on Oct 9MarAprMayJunJulAugSepOct
Mar 4 → Oct 11 · 71 snapshots · spans 221 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 37211 LM-Arena
LM Arena Elo 1358.3955692803715 LM-Arena
Arena-Elo-Lower 1354.342781362301 LM-Arena
Arena-Elo-Upper 1362.4483571984422 LM-Arena
Arena-Rank 37 LM-Arena
Entertainment 1.1 UGI
Hazardous 2.4 UGI
Natural Intelligence 34.45 UGI
Political lean -14.2% UGI
Sensitive-Info 20.64 UGI
SocPol 3 UGI
UGI 20.43 UGI
Willingness (10) 2 UGI
W10-Adherence 0 UGI
W10-Direct 4 UGI
Writing 44.99 UGI

Genealogy 0 direct forks

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Metadata

License
gemma
Tags
safetensors gemma3 text-generation conversational base_model:google/gemma-3-27b-it base_model:finetune:google/gemma-3-27b-it license:gemma region:us

Related

Total size
51.1 GB
Files
25
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-03-02 17:19

Files by quantization

Auxiliary files 25 files 51.1 GB
model-00011-of-00012.safetensors 4.61 GB 4a2de7fa download
model-00004-of-00012.safetensors 4.61 GB ddfa0710 download
model-00005-of-00012.safetensors 4.61 GB acc0dae1 download
model-00006-of-00012.safetensors 4.61 GB 2b159ab1 download
model-00007-of-00012.safetensors 4.61 GB 150b7d18 download
model-00008-of-00012.safetensors 4.61 GB 90bf50ab download
model-00009-of-00012.safetensors 4.61 GB 3b0c2e10 download
model-00010-of-00012.safetensors 4.61 GB acdf8c01 download
model-00002-of-00012.safetensors 4.61 GB bf17dbad download
model-00003-of-00012.safetensors 4.61 GB 1e62d5d1 download
model-00001-of-00012.safetensors 4.52 GB 4da02901 download
model-00012-of-00012.safetensors 441 MB 61f4d0c5 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 124 KB 85edb4d6 download
gemma3-27b-it-abliterated-normpreserve.yml 2.75 KB 8741f7ef download
README.md 2.32 KB 4c5dd754 download
chat_template.json 1.58 KB 719b0cd0 download
.gitattributes 1.53 KB 52373fe2 download
config.json 972 B 11752a47 download
special_tokens_map.json 662 B 1a619324 download
preprocessor_config.json 570 B b1e00fc1 download
generation_config.json 215 B 37a4c871 download
added_tokens.json 35.0 B e17bde03 download

README current version from Hugging Face


license: gemma
base_model:

  • google/gemma-3-27b-it
    pipeline_tag: text-generation

Gemma 3 27B Instruct - Norm-Preserving Abliterated

UPDATED ON 03-12-2025 FOR QUALITY IMPROVEMENT.

This is an abliterated version of google/gemma-3-27b-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-3-27b-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{gemma-3-27b-abliterated,
  author = {YanLabs},
  title = {Gemma 3 27B Instruct - Norm-Preserving Abliterated},
  year = {2025},
  publisher = {HuggingFace},
  howpublished = {\url{https://huggingface.co/YanLabs/gemma-3-27b-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. 2026-03-02Duplicate from YanLabs/gemma-3-27b-it-abliterated-normpreserveb614d542.3 KB
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