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huihui-ai/Huihui-gemma-4-E2B-it-abliterated-v2

huihui-ai Gemma 5.1B
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Response includes
  • classification m3
  • files 9
  • benchmarks 11 entries
  • hub_downloads_all_time 4,702
  • author_summary 184 models
  • readme_text full
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Abliteration classifier · v1.0.0
M3
Primary method

Layer-wise ablation

No other method signals detected in this model.
Confidence
HIGH
Why this label 3 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • author=huihui-ai (specializes in M3 layer-wise ablation)
  • is_gguf=0 (base model, not repackage)
  • 'abliterated' in name/tags
Refusal direction extracted via
Extraction technique

huihui-ai layer-band extraction

Confidence
HIGH
Why we say so
producer=huihui-ai (documented layer-band methodology in model cards)
Downloads · lifetime
5K
131 last 30d - cooling
Likes
14
Descendants
3
in 3 direct forks
Model age
6mo ago
created 2026-04-11
Downloads over time
Now4.7K→from665↑613%
4612K3.6K5.1K665 on Apr 154.7K on Oct 11AprMayJunJulAugSepOct
Apr 15 → Oct 11 · 67 snapshots · spans 179 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 0 UGI
Natural Intelligence 13.78 UGI
Political lean -15.8% UGI
Sensitive-Info 3.65 UGI
SocPol 0 UGI
UGI 5.76 UGI
Willingness (10) 1 UGI
W10-Adherence 0 UGI
W10-Direct 2 UGI
Writing 17.3 UGI

Genealogy 3 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
apache-2.0
Tags
transformers safetensors gemma4 image-text-to-text abliterated uncensored any-to-any base_model:google/gemma-4-E2B-it base_model:finetune:google/gemma-4-E2B-it license:apache-2.0 endpoints_compatible region:us

Related

Total size
9.54 GB
Files
9
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-04-13 01:40

Files by quantization

Auxiliary files 9 files 9.57 GB
model.safetensors 9.54 GB c1a72f14 download
tokenizer.json 30.7 MB cc8d3a0c download
chat_template.jinja 11.6 KB afb1d517 download
config.json 4.84 KB 923b5e94 download
README.md 3.38 KB 0fe5f8df download
tokenizer_config.json 2.02 KB e5418067 download
processor_config.json 1.65 KB 5465974d download
.gitattributes 1.53 KB 52373fe2 download
generation_config.json 208 B e605bb45 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-E2B-it
    tags:
  • abliterated
  • uncensored

huihui-ai/Huihui-gemma-4-E2B-it-abliterated-v2

This is an uncensored version of google/gemma-4-E2B-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 This is the new version, the first 5 layers have not been abliterated, with fewer warnings and rejections. You can refer to the PPL values below:

model PPL Gap
gemma-4-E2B-it/ggml-model-f16.gguf PPL = 146.9989 +/- 2.02589 + 0
gemma-4-E2B-it-abliterated/ggml-model-f16.gguf PPL = 164.4813 +/- 2.29295 + 17.4824
gemma-4-E2B-it-abliterated-v2/ggml-model-f16.gguf PPL = 180.3022 +/- 2.49486 + 33.3033 + 15.8209

The smaller the PPL value, the higher the model quality.

PPL value test command

llama-perplexity gemma-4-E2B-it/ggml-model-f16.gguf -c 8192 -b 512 -ctk bf16 -ctv bf16 -f wiki.test.raw

References

llama-perplexity
llama.cpp-b8740

ollama

Please use the latest version of ollama

You can use huihui_ai/gemma-4-abliterated:e2b-v2 directly,

ollama run huihui_ai/gemma-4-abliterated:e2b-v2

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 3 versions

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

  1. 2026-04-13Update README.md2f7b0883.4 KB
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  2. 2026-04-11Update README.mdf5870933.4 KB
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  3. 2026-04-11Create README.md5df3e723.4 KB
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