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

harimuliawan999/Huihui-Qwen3.5-4B-abliterated

harimuliawan999 Qwen 4.5B GGUF multimodal
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Response includes
  • classification m8
  • files 12
  • benchmarks 11 entries
  • hub_downloads_all_time 1,264
  • author_summary 4 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
1K
65 last 30d - cooling
Likes
1
Model age
7mo ago
created 2026-03-08
Downloads over time
Now1.3K→from452↑183%
4117281K1.4K452 on Mar 111.3K on Oct 111.3K on Oct 10MarAprMayJunJulAugSepOct
Mar 11 → Oct 11 · 70 snapshots · spans 214 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 0.9 UGI
Hazardous 1.2 UGI
Natural Intelligence 13.45 UGI
Political lean -17.3% UGI
Sensitive-Info 11.73 UGI
SocPol 1.5 UGI
UGI 15.32 UGI
Willingness (10) 2.2 UGI
W10-Adherence 1.5 UGI
W10-Direct 3 UGI
Writing 29.68 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
Tags
transformers safetensors gguf qwen3_5 image-text-to-text abliterated uncensored conversational base_model:Qwen/Qwen3.5-4B base_model:quantized:Qwen/Qwen3.5-4B license:apache-2.0 endpoints_compatible

Related

Total size
8.46 GB
Files
12
Quantizations
2
Registered
2026-08-22 13:56
Last updated on HF
2026-03-08 13:49

Files by quantization

F16 1 file 641 MB
mmproj-model-f16.gguf 641 MB f0a83fa4 download
Auxiliary files 11 files 8.47 GB
model-00001-of-00002.safetensors 4.63 GB 9d95b71d download
model-00002-of-00002.safetensors 3.82 GB c6e0edcf download
tokenizer.json 19.1 MB 87a7830d download
model.safetensors.index.json 64.7 KB 5e7fb164 download
chat_template.jinja 7.57 KB a585dec8 download
config.json 2.75 KB 74545fd9 download
README.md 2.59 KB de6d2f87 download
.gitattributes 1.59 KB 440ab315 download
processor_config.json 1.27 KB 7ad6acdf download
tokenizer_config.json 1.11 KB a068e246 download
generation_config.json 115 B 6cd5946d download

README current version from Hugging Face


library_name: transformers
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3.5-4B/blob/main/LICENSE
pipeline_tag: image-text-to-text
base_model:

  • Qwen/Qwen3.5-4B
    tags:
  • abliterated
  • uncensored

huihui-ai/Huihui-Qwen3.5-4B-abliterated

This is the uncensored version of Qwen/Qwen3.5-4B after fine-tuning. It has been trained using TRL.

The fine-tuned dataset is a type of dataset that operates in a non-think mode, and it may actually make thinking simpler.

It was only the text part that was processed, not the image part.

After saving the model, the names of some weights have changed, and it no longer contains MTP weights. However, both ollama and llama.cpp can still be used for conversion.

ollama

Please use the latest version of ollama v0.17.7

You can use huihui_ai/qwen3.5-abliterated:4b directly,

ollama run huihui_ai/qwen3.5-abliterated:4b

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. 2026-03-08Duplicate from huihui-ai/Huihui-Qwen3.5-4B-abliterated85e43982.6 KB
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