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tutuchen2000/Huihui-gemma-4-26B-A4B-it-abliterated

tutuchen2000 Gemma 26B MoE
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Response includes
  • classification m1
  • files 11
  • hub_downloads_all_time 56
  • author_summary 7 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
56
15 last 30d - stable
Likes
1
Model age
5mo ago
created 2026-04-15
Downloads over time
Now60→from13↑362%
1129476513 on Apr 1560 on Oct 1160 on Oct 9AprMayJunJulAugSepOct
Apr 15 → Oct 11 · 65 snapshots · spans 179 days

Genealogy 0 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-4-26B-A4B base_model:finetune:google/gemma-4-26B-A4B 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
2026-04-15 02:55

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 2.68 KB 506fbcd1 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
    tags:
  • abliterated
  • uncensored

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

This is an uncensored version of google/gemma-4-26B-A4B 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 1 version

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

  1. 2026-04-15Duplicate from huihui-ai/Huihui-gemma-4-26B-A4B-it-abliterated85791242.7 KB
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