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huihui-ai/Huihui-gemma-4-26B-A4B-it-abliterated

huihui-ai Gemma 26B MoE
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Response includes
  • classification m3
  • files 11
  • benchmarks 11 entries
  • hub_downloads_all_time 88,976
  • author_summary 183 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
89K
1K last 30d - cooling
Likes
54
Descendants
28
in 23 direct forks
Model age
6mo ago
created 2026-04-11
Downloads over time
Now89.2K→from2.2K↑4,041%
032.7K65.3K98K2.2K on Apr 1589.2K on Oct 11AprMayJunJulAugSepOct
Apr 15 → Oct 11 · 66 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 2.2 UGI
Hazardous 2.9 UGI
Natural Intelligence 34.44 UGI
Political lean -18.2% UGI
Sensitive-Info 22.41 UGI
SocPol 1.8 UGI
UGI 20.77 UGI
Willingness (10) 1.8 UGI
W10-Adherence 1.5 UGI
W10-Direct 2 UGI
Writing 41.62 UGI

Genealogy 23 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.

google/gemma-4-26B-A4B-it this lineage
huihui-ai/Huihui-gemma-4-26B-A4B-it-abliterated↓ 1,228 23 forks
huihui-ai/Huihui4-48B-A4B-abliterated↓ 266 5 forks

Metadata

License
apache-2.0
Tags
transformers safetensors gemma4 image-text-to-text abliterated uncensored any-to-any base_model:google/gemma-4-26B-A4B-it base_model:finetune:google/gemma-4-26B-A4B-it license:apache-2.0 endpoints_compatible region:us

Related

Total size
48.1 GB
Files
11
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-05-12 16:29

Files by quantization

Auxiliary files 11 files 48.1 GB
model-00001-of-00002.safetensors 46.5 GB ef1e7aef download
model-00002-of-00002.safetensors 1.59 GB d44f125b download
tokenizer.json 30.7 MB cc8d3a0c download
model.safetensors.index.json 101 KB 889ab10e download
chat_template.jinja 11.8 KB 33c51c2d download
config.json 3.73 KB f42adcca download
README.md 2.69 KB 7b0da426 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-4-26B-A4B-it
    tags:
  • abliterated
  • uncensored

huihui-ai/Huihui-gemma-4-26B-A4B-abliterated

This is an uncensored version of google/gemma-4-26B-A4B-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. the first 5 layers have not been abliterated, may contain warning information, but no refusal will be made..

No ablation was performed on the 256 experts per layer.

ollama

Please use the latest version of ollama

You can use huihui_ai/gemma-4-abliterated:26b directly,

ollama run huihui_ai/gemma-4-abliterated:26b

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 4 versions

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

  1. 2026-05-12Update README.mdbfa65802.7 KB
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  2. 2026-04-11Update README.mdee1930b2.7 KB
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  3. 2026-04-11Update README.mdbe41f1e2.4 KB
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  4. 2026-04-11Create README.mdedaf5442.4 KB
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Discussions 5 threads

  1. 2026-09-21Beta Testers Wanted for Huihui-gemma-4-26B-A4B-it-abliterated Deploymentopen1 💬#5
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  2. 2026-07-31PRUpdate README.mdopen1 💬#4
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  3. 2026-06-05QAT versionclosed2 💬#3
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  4. 2026-05-12Model heritage / lineageopen2 💬#2
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  5. 2026-04-19The model gets stuck in an infinite 'thinking' loop during roleplay conversatio…closed5 💬#1
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