← back to catalog · registered 2026-08-22 13:56

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

jinghun Qwen 28B multimodal
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Response includes
  • classification m1
  • files 23
  • benchmarks 11 entries
  • hub_downloads_all_time 38
  • author_summary 1 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
38
14 last 30d - stable
Likes
0
Model age
6mo ago
created 2026-03-19
Downloads over time
Now44→from10↑340%
821344710 on Mar 1844 on Oct 1144 on Oct 5MarAprMayJunJulAugSepOct
Mar 18 → Oct 11 · 69 snapshots · spans 207 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 1 UGI
Hazardous 1.8 UGI
Natural Intelligence 35.83 UGI
Political lean -17.8% UGI
Sensitive-Info 17.72 UGI
SocPol 2.7 UGI
UGI 15.98 UGI
Willingness (10) 1.2 UGI
W10-Adherence 1.5 UGI
W10-Direct 1 UGI
Writing 42.37 UGI

Genealogy 0 direct forks

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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
2026-08-22 13:56
Last updated on HF
2026-03-19 03:09

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.

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. 2026-03-19Duplicate from huihui-ai/Huihui-Qwen3.5-27B-abliterated908b1e92.4 KB
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