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pmtpaster/Huihui-gemma-4-12B-it-abliterated

pmtpaster Gemma 12B
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Response includes
  • classification m1
  • files 9
  • benchmarks 11 entries
  • hub_downloads_all_time 28
  • 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
28
5 last 30d - stable
Likes
0
Model age
4mo ago
created 2026-06-09
Downloads over time
Now30→from7↑329%
61523327 on Jun 1030 on Oct 1130 on Oct 7JunJulAugSepOct
Jun 10 → Oct 11 · 57 snapshots · spans 123 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 1.1 UGI
Hazardous 2.9 UGI
Natural Intelligence 25.81 UGI
Political lean -17.4% UGI
Sensitive-Info 16.56 UGI
SocPol 1.3 UGI
UGI 15.2 UGI
Willingness (10) 1.2 UGI
W10-Adherence 1.5 UGI
W10-Direct 1 UGI
Writing 31.6 UGI

Genealogy 0 direct forks

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Metadata

License
apache-2.0
Tags
transformers safetensors gemma4_unified image-text-to-text abliterated uncensored any-to-any base_model:google/gemma-4-12B-it base_model:finetune:google/gemma-4-12B-it license:apache-2.0 endpoints_compatible region:us

Related

Total size
22.3 GB
Files
9
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-06-09 20:07

Files by quantization

Auxiliary files 9 files 22.3 GB
model.safetensors 22.3 GB 2dd13d86 download
tokenizer.json 30.7 MB cc8d3a0c download
chat_template.jinja 17.1 KB e61bbfe9 download
config.json 4.32 KB 56741bcc download
README.md 2.76 KB 3a181120 download
tokenizer_config.json 2.05 KB 68354f96 download
.gitattributes 1.53 KB 52373fe2 download
processor_config.json 1.35 KB b889adcd download
generation_config.json 260 B d09dccf1 download

README current version from Hugging Face


library_name: transformers
license: apache-2.0
license_link: https://ai.google.dev/gemma/docs/gemma_4_license
pipeline_tag: any-to-any
base_model:

  • google/gemma-4-12B-it
    tags:
  • abliterated
  • uncensored

huihui-ai/Huihui-gemma-4-12B-it-abliterated

This is an uncensored version of google/gemma-4-12B-it created with abliteration (see remove-refusals-with-transformers to know more about it).
This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens.

Note For this model, both the thinking mode and the non-thinking mode have been completely abliterated. Only layers 23-28 have been abliterated.

Important Notice: The weights of the earliest released google/gemma-4-12B-it model have issues. We have already re-ablated and re-uploaded the model. If you have already downloaded it, please re-download.

ollama

Please use the latest version of ollama

You can use huihui_ai/gemma-4-abliterated:12b directly,

ollama run huihui_ai/gemma-4-abliterated:12b

Usage Warnings

  • Risk of Sensitive or Controversial Outputs: This model’s safety filtering has been significantly reduced, potentially generating sensitive, controversial, or inappropriate content. Users should exercise caution and rigorously review generated outputs.

  • Not Suitable for All Audiences: Due to limited content filtering, the model’s outputs may be inappropriate for public settings, underage users, or applications requiring high security.

  • Legal and Ethical Responsibilities: Users must ensure their usage complies with local laws and ethical standards. Generated content may carry legal or ethical risks, and users are solely responsible for any consequences.

  • Research and Experimental Use: It is recommended to use this model for research, testing, or controlled environments, avoiding direct use in production or public-facing commercial applications.

  • Monitoring and Review Recommendations: Users are strongly advised to monitor model outputs in real-time and conduct manual reviews when necessary to prevent the dissemination of inappropriate content.

  • No Default Safety Guarantees: Unlike standard models, this model has not undergone rigorous safety optimization. huihui.ai bears no responsibility for any consequences arising from its use.

Donation

Your donation helps us continue our further development and improvement, a cup of coffee can do it.
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README history 1 version

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

  1. 2026-06-09Duplicate from huihui-ai/Huihui-gemma-4-12B-it-abliterated347a56c2.8 KB
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