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HeYujie/Qwen3.5-27B-abliterated-GGUF

HeYujie Qwen 27B GGUF multimodal second-order 262K ctx
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Response includes
  • classification m8
  • files 13
  • benchmarks 11 entries
  • hub_downloads_all_time 10,516
  • author_summary 2 models
  • readme_text full
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Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

Applied on top of direct removal inherited from the base model.
Confidence
MEDIUM
Inherited from base model
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=1
  • assume M1 (base ablation) + M8 (GGUF quant) - default when producer unknown
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? →
Downloads · lifetime
11K
4K last 30d - stable
Likes
1
Model age
7mo ago
created 2026-02-28
Downloads over time
Now11.1K→from0↑0%
04.1K8.2K12.3K0 on Feb 2511.1K on Oct 11FebAprJunAugOct
Feb 25 → Oct 11 · 72 snapshots · spans 228 days

Benchmarks

Benchmark Score Source
Entertainment 1.6 UGI
Hazardous 2.9 UGI
Natural Intelligence 22.36 UGI
Political lean -24.2% UGI
Sensitive-Info 22.3 UGI
SocPol 2.4 UGI
UGI 44.87 UGI
Willingness (10) 9 UGI
W10-Adherence 10 UGI
W10-Direct 8 UGI
Writing 35.63 UGI

Genealogy 0 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
Quantizations
Q2_K Q3_K Q4 Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf abliterated uncensored llama-cpp quantized image-text-to-text base_model:huihui-ai/Huihui-Qwen3.5-27B-abliterated base_model:quantized:huihui-ai/Huihui-Qwen3.5-27B-abliterated license:apache-2.0 endpoints_compatible region:us

Related

Total size
185 GB
Files
13
Quantizations
8
Registered
2026-08-22 13:56
Last updated on HF
2026-03-05 07:46

Files by quantization

Q8_0 1 file 26.6 GB
Qwen3.5-27B-abliterated-Q8_0.gguf 26.6 GB 9af48f72 download
Q6_K 1 file 20.6 GB
Qwen3.5-27B-abliterated-Q6_K.gguf 20.6 GB 57b7b335 download
Q5_K 1 file 18.1 GB
Qwen3.5-27B-abliterated-Q5_K_M.gguf 18.1 GB 273d9934 download
Q4 2 files 30.3 GB
Qwen3.5-27B-abliterated-Q4_1.gguf 15.9 GB 3f33347e download
Qwen3.5-27B-abliterated-Q4_0.gguf 14.4 GB 3fa7b568 download
Q4_K 2 files 29.9 GB
Qwen3.5-27B-abliterated-Q4_K_M.gguf 15.4 GB ff8cb41b download
Qwen3.5-27B-abliterated-Q4_K_S.gguf 14.5 GB 56a79500 download
Q3_K 2 files 23.6 GB
Qwen3.5-27B-abliterated-Q3_K_M.gguf 12.4 GB dba257d9 download
Qwen3.5-27B-abliterated-Q3_K_S.gguf 11.2 GB 0a9eb430 download
Q2_K 1 file 9.43 GB
Qwen3.5-27B-abliterated-Q2_K.gguf 9.43 GB 742f0348 download
Auxiliary files 3 files 26.6 GB
Qwen3.5-27B-abliterated-MXFP4_MOE.gguf 26.6 GB 5bb940b4 download
README.md 2.28 KB fdfb3a1e download
.gitattributes 2.25 KB 10b26f5a download

README current version from Hugging Face


license: apache-2.0
library_name: transformers
license_link: https://huggingface.co/Qwen/Qwen3.5-27B/blob/main/LICENSE
pipeline_tag: image-text-to-text
base_model: huihui-ai/Huihui-Qwen3.5-27B-abliterated
quantized: true
tags:

  • abliterated
  • uncensored
  • llama-cpp
  • gguf
  • quantized

Qwen3.5-27B-abliterated GGUF

This repository contains the GGUF quantized versions of huihui-ai/Huihui-Qwen3.5-27B-abliterated

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

Quantized Format

  • MXFP4_MOE
  • Q2_K
  • Q3_K_S
  • Q3_K_M
  • Q4_0
  • Q4_1
  • Q4_K_S
  • Q4_K_M
  • Q5_K_M
  • Q6_K
  • Q8_0

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 10 versions

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

  1. 2026-03-05Update README.md61cbb1a2.3 KB
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  2. 2026-02-28Update README.md7fbe6f82.2 KB
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  9. 2026-02-28Update README.md00dcb862.5 KB
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  10. 2026-02-28Create README.mdf2c42ac2.5 KB
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