← back to catalog · registered 2026-10-03 13:58

xannie1/Huihui-Qwen3.5-27B-abliterated

xannie1 Qwen 27B multimodal
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Response includes
  • classification m-uncensored
  • files 23
  • author_summary 1 models
  • readme_text full
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Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

What is a refusal direction? →
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Model age
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created 2026-10-03

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Metadata

License
apache-2.0
Tags
transformers safetensors qwen3_5 image-text-to-text abliterated uncensored conversational base_model:Qwen/Qwen3.5-27B base_model:finetune:Qwen/Qwen3.5-27B license:apache-2.0 endpoints_compatible region:us

Related

Total size
51.7 GB
Files
23
Quantizations
1
Registered
2026-10-03 13:58
Last updated on HF
2026-10-03 13:49

Files by quantization

Auxiliary files 23 files 51.8 GB
model.safetensors-00008-of-00011.safetensors 5.00 GB 5379952f download
model.safetensors-00010-of-00011.safetensors 4.98 GB 16a369cb download
model.safetensors-00009-of-00011.safetensors 4.98 GB 19cfab50 download
model.safetensors-00003-of-00011.safetensors 4.98 GB 07c78660 download
model.safetensors-00004-of-00011.safetensors 4.98 GB 968a8fd3 download
model.safetensors-00005-of-00011.safetensors 4.98 GB 87852bf5 download
model.safetensors-00006-of-00011.safetensors 4.98 GB b8cd098b download
model.safetensors-00007-of-00011.safetensors 4.98 GB 75fd489f download
model.safetensors-00002-of-00011.safetensors 4.98 GB 86a8d784 download
model.safetensors-00001-of-00011.safetensors 4.90 GB a8ddb650 download
model.safetensors-00011-of-00011.safetensors 2.00 GB 38656513 download
tokenizer.json 12.2 MB 5f9e4d49 download
vocab.json 6.41 MB 0aa0ce06 download
merges.txt 3.20 MB a494e019 download
model.safetensors.index.json 124 KB a7726bc7 download
tokenizer_config.json 16.3 KB eda48d3e download
chat_template.jinja 7.57 KB a585dec8 download
config.json 4.04 KB bde2be7f download
README.md 2.41 KB 07d93d28 download
.gitattributes 1.53 KB 52373fe2 download
preprocessor_config.json 390 B 2ea84a43 download
video_preprocessor_config.json 385 B 3ba673a5 download
generation_config.json 244 B 85b45ab4 download

README current version from Hugging Face


library_name: transformers
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3.5-27B/blob/main/LICENSE
pipeline_tag: image-text-to-text
base_model:

  • Qwen/Qwen3.5-27B
    tags:
  • abliterated
  • uncensored

huihui-ai/Huihui-Qwen3.5-27B-abliterated

This is an uncensored version of Qwen/Qwen3.5-27B 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 v0.17.5

You can use huihui_ai/qwen3.5-abliterated directly,

ollama run huihui_ai/qwen3.5-abliterated

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.

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