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grimjim/gemma-3-12b-it-biprojected-abliterated

grimjim Gemma 12B multimodal
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Response includes
  • classification m1
  • files 16
  • benchmarks 16 entries
  • hub_downloads_all_time 256
  • author_summary 14 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
256
38 last 30d - stable
Likes
8
Descendants
2
in 2 direct forks
Model age
11mo ago
created 2025-11-01
Downloads over time
Now267→from0↑0%
0981962940 on Oct 29, 2025267 on Oct 11Oct '25Dec '25FebAprJunAugOct
Oct 29, 2025 → Oct 11 · 89 snapshots · spans 347 days

Benchmarks

Benchmark Score Source
Entertainment 0.9 UGI
Hazardous 1.2 UGI
Natural Intelligence 21.06 UGI
Political lean -7.3% UGI
Sensitive-Info 10.44 UGI
SocPol 1.1 UGI
UGI 37.79 UGI
Willingness (10) 9.2 UGI
W10-Adherence 9.5 UGI
W10-Direct 9 UGI
Writing 30.76 UGI
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 3976 LM-Arena
LM Arena Elo 1335.3304642871612 LM-Arena
Arena-Elo-Lower 1326.1060034720686 LM-Arena
Arena-Elo-Upper 1344.5549251022537 LM-Arena
Arena-Rank 49 LM-Arena

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.

Metadata

License
gemma
Tags
transformers safetensors gemma3 image-text-to-text conversational base_model:google/gemma-3-12b-it base_model:finetune:google/gemma-3-12b-it license:gemma text-generation-inference endpoints_compatible region:us

Related

Total size
22.7 GB
Files
16
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-11-01 19:42

Files by quantization

Auxiliary files 16 files 22.7 GB
model-00001-of-00005.safetensors 4.64 GB 4847447e download
model-00003-of-00005.safetensors 4.59 GB b73ca873 download
model-00004-of-00005.safetensors 4.59 GB f4f99b2a download
model-00002-of-00005.safetensors 4.59 GB 14091f17 download
model-00005-of-00005.safetensors 4.29 GB 8ad0be5d download
tokenizer.json 31.8 MB 4667f208 download
tokenizer.model 4.47 MB 1299c11d download
tokenizer_config.json 1.15 MB 2cfe89ab download
model.safetensors.index.json 107 KB 25d054c8 download
config.json 2.94 KB 96e2ebbc download
chat_template.jinja 1.54 KB c5f13654 download
.gitattributes 1.53 KB 52373fe2 download
README.md 772 B cdea5c4d download
special_tokens_map.json 695 B 6728103d download
generation_config.json 223 B 50cbbd78 download
added_tokens.json 38.0 B f9f1f4f5 download

README current version from Hugging Face


license: gemma
library_name: transformers
pipeline_tag: image-text-to-text
base_model: google/gemma-3-12b-it

gemma-3-12b-it-biprojected-abliterated

This model was derived from google/gemma-3-12b-it.

Projected abliteration has been applied in determining refusal direction, along with a second round of remove of projected contribution onto the harmless direction of layer targeted for intervention, which should further reduce model damage; no subsequent fine-tuning was applied to repair damage.
The net result is a model that refuses far less often than the original model, yet still retains awareness of safety and harms.

More details to follow.

README history 1 version

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

  1. 2025-11-01Create README.mdc2baf91772 B
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Discussions 1 thread

  1. 2025-12-22What's the difference between projected and biprojected?open2 💬#1
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