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huihui-ai/Huihui-Qwopus3.5-27B-v3-abliterated

huihui-ai 27B multimodal
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Response includes
  • classification m3
  • files 20
  • 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 · 30-day
75
↑ 63% in 90 days
Likes
14
Descendants
5
in 5 direct forks
Model age
6mo ago
created 2026-04-06
Downloads over time
Now1.8K→from1.1K↑63%
1K1.3K1.6K1.8K1.1K on Apr 151.8K on Sep 26AprMayJunJulAugSep
Apr 15 → Sep 26 · 50 snapshots · spans 164 days

Genealogy 5 direct forks

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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 qwen3_5 image-text-to-text abliterated uncensored Qwopus reasoning chain-of-thought Dense conversational base_model:Jackrong/Qwopus3.5-27B-v3

Related

Total size
51.0 GB
Files
20
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-04-06 02:39

Files by quantization

Auxiliary files 20 files 51.0 GB
model-00005-of-00012.safetensors 4.64 GB 0697fdb6 download
model-00008-of-00012.safetensors 4.63 GB 28f25a5e download
model-00011-of-00012.safetensors 4.62 GB f5970897 download
model-00003-of-00012.safetensors 4.62 GB bef06e47 download
model-00009-of-00012.safetensors 4.62 GB ce2251c5 download
model-00010-of-00012.safetensors 4.59 GB 22105f3b download
model-00007-of-00012.safetensors 4.59 GB a9444750 download
model-00006-of-00012.safetensors 4.58 GB 0d4df5db download
model-00004-of-00012.safetensors 4.58 GB ec9589e8 download
model-00002-of-00012.safetensors 4.51 GB 0449fa78 download
model-00012-of-00012.safetensors 2.60 GB 57a44b7c download
model-00001-of-00012.safetensors 2.37 GB 86df4251 download
tokenizer.json 19.1 MB 87a7830d download
model.safetensors.index.json 109 KB cc8da4e6 download
tokenizer_config.json 5.27 KB 7662dccc download
config.json 4.40 KB 634fff94 download
chat_template.jinja 3.95 KB 609532bf download
README.md 2.43 KB 45a9bf8f download
.gitattributes 1.53 KB 52373fe2 download
processor_config.json 1.27 KB 7ad6acdf download

README current version from Hugging Face


library_name: transformers
license: apache-2.0
pipeline_tag: image-text-to-text
base_model:

  • Jackrong/Qwopus3.5-27B-v3
    tags:
  • abliterated
  • uncensored
  • Qwopus
  • reasoning
  • chain-of-thought
  • Dense

huihui-ai/Huihui-Qwopus3.5-27B-v3-abliterated

This is an uncensored version of Jackrong/Qwopus3.5-27B-v3 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/qwen3.5-abliterated:27B-Qwopus directly,

ollama run huihui_ai/qwen3.5-abliterated:27B-Qwopus

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. 2026-04-06Create README.md274d26c2.4 KB
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