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lhca521/Huihui-Qwen3.6-27B-abliterated-AWQ

lhca521 Qwen 24B multimodal second-order
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Response includes
  • classification m1
  • files 22
  • hub_downloads_all_time 244,715
  • author_summary 23 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
245K
908 last 30d - cooling
Likes
1
Model age
5mo ago
created 2026-04-29
Downloads over time
Now245.2K→from84↑291,761%
089.9K179.8K269.7K84 on Apr 29245.2K on Oct 11AprMayJunJulAugSepOct
Apr 29 → Oct 11 · 63 snapshots · spans 165 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.

Variants by this author 2 formats · 1K 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 qwen3_5 image-text-to-text abliterated uncensored conversational base_model:Qwen/Qwen3.6-27B base_model:quantized:Qwen/Qwen3.6-27B license:apache-2.0 endpoints_compatible 4-bit

Related

Total size
18.2 GB
Files
22
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-04-29 14:03

Files by quantization

Auxiliary files 22 files 18.2 GB
model-00008-of-00010.safetensors 2.37 GB 523519d7 download
model-00010-of-00010.safetensors 2.37 GB abed7b0a download
model-00006-of-00010.safetensors 2.00 GB 417a3255 download
model-00001-of-00010.safetensors 1.99 GB 0f7c0531 download
model-00002-of-00010.safetensors 1.99 GB 42336a3d download
model-00003-of-00010.safetensors 1.99 GB cc9e0add download
model-00005-of-00010.safetensors 1.99 GB 819701d3 download
model-00004-of-00010.safetensors 1.98 GB aa56f48a download
model_extra_tensors.safetensors 810 MB e5bb496d download
model-00007-of-00010.safetensors 764 MB 0cf2cb72 download
model-00009-of-00010.safetensors 10.1 KB e72381d3 download
tokenizer.json 19.1 MB 06b95093 download
model.safetensors.index.json 187 KB 15df46fa download
config.json 9.88 KB 558e5f73 download
chat_template.jinja 7.58 KB a8755d82 download
quantization_config.json 6.01 KB 7715533f download
README.md 2.02 KB b5137ff1 download
.gitattributes 1.53 KB 52373fe2 download
processor_config.json 1.16 KB 33818c7f download
tokenizer_config.json 1.14 KB 1d134cd2 download
preprocessor_config.json 443 B 8ed39680 download
generation_config.json 213 B e5597d6c download

README current version from Hugging Face


library_name: transformers
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3.6-27B/blob/main/LICENSE
pipeline_tag: image-text-to-text
base_model:

  • huihui-ai/Huihui-Qwen3.6-27B-abliterated
  • Qwen/Qwen3.6-27B
    tags:
  • abliterated
  • uncensored

zhiqing/Huihui-Qwen3.6-27B-abliterated-AWQ

This is an uncensored version of Qwen/Qwen3.6-27B 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.

vLLM

vllm serve zhiqing/Huihui-Qwen3.6-27B-abliterated-AWQ

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.

README history 1 version

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

  1. 2026-04-29Duplicate from zhiqing/Huihui-Qwen3.6-27B-abliterated-AWQ74dcda82 KB
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