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huihui-ai/Huihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated

huihui-ai Gemma 26B MoE
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Response includes
  • classification m3
  • files 11
  • hub_downloads_all_time 2,291
  • 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
2K
511 last 30d - stable
Likes
3
Descendants
3
in 3 direct forks
Model age
4mo ago
created 2026-06-11
Downloads over time
Now2.3K→from35↑6,434%
08371.7K2.5K35 on Jun 102.3K on Sep 29JunJulAugSep
Jun 10 → Sep 29 · 45 snapshots · spans 111 days

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.

Variants by this author 2 formats · 15K downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

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-qat-q4_0-unquantized base_model:finetune:google/gemma-4-26B-A4B-it-qat-q4_0-unquantized 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
2026-06-11 15:12

Files by quantization

Auxiliary files 11 files 48.1 GB
model-00001-of-00002.safetensors 46.5 GB 937574eb download
model-00002-of-00002.safetensors 1.59 GB fa22da96 download
tokenizer.json 30.7 MB cc8d3a0c download
model.safetensors.index.json 101 KB 889ab10e download
chat_template.jinja 16.5 KB f62ca843 download
config.json 3.72 KB 4bced39a download
README.md 2.69 KB 539fb2c1 download
tokenizer_config.json 2.68 KB 0362f5a0 download
processor_config.json 1.65 KB 5465974d download
.gitattributes 1.53 KB 52373fe2 download
generation_config.json 203 B 5a376e9f 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-qat-q4_0-unquantized
    tags:
  • abliterated
  • uncensored

huihui-ai/Huihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated

This is an uncensored version of google/gemma-4-26B-A4B-it-qat-q4_0-unquantized 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.

ollama

Please use the latest version of ollama

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

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

GGUF

huihui-ai/Huihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated-GGUF

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

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README history 5 versions

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

  1. 2026-06-11Update README.mdadf2e962.7 KB
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  2. 2026-06-11Update README.md502e9f22.7 KB
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  3. 2026-06-11Update README.md75ac3e62.4 KB
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  4. 2026-06-11Update README.md4d99b5c2.2 KB
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  5. 2026-06-11Create README.md7d582692.2 KB
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