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mythicalsnake/Huihui-Qwen3.5-9B-abliterated

Name: mythicalsnake/Huihui-Qwen3.5-9B-abliterated
Author: mythicalsnake

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     "https://abliteration.org/api/v1/models/mythicalsnake%2FHuihui-Qwen3.5-9B-abliterated"

Response includes

classification m1
files 16
benchmarks 11 entries
hub_downloads_all_time 137
author_summary 1 models
readme_text full

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Abliteration classifier · v1.0.0

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

FromArditi et al. (2024) ↗

Confidence

MEDIUM

Why we say so

primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)

Downloads · lifetime

137

25 last 30d - stable

Likes

Model age

7mo ago

created 2026-03-14

Downloads over time

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	1.4	UGI
Hazardous	2.4	UGI
Natural Intelligence	17.62	UGI
Political lean	-12.2%	UGI
Sensitive-Info	14.65	UGI
SocPol	0.9	UGI
UGI	17.27	UGI
Willingness (10)	2.2	UGI
W10-Adherence	1.5	UGI
W10-Direct	3	UGI
Writing	33.52	UGI

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.

Qwen/Qwen3.5-9B this lineage

mythicalsnake/Huihui-Qwen3.5-9B-abliterated↓ 25

Metadata

License

apache-2.0

Files by quantization

Auxiliary files 16 files 18.0 GB

model.safetensors-00003-of-00004.safetensors	5.00 GB	582ddb25	download
model.safetensors-00002-of-00004.safetensors	4.97 GB	fd66bab5	download
model.safetensors-00001-of-00004.safetensors	4.91 GB	919d422e	download
model.safetensors-00004-of-00004.safetensors	3.10 GB	f95d920c	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	77.8 KB	e4c1cb7d	download
tokenizer_config.json	16.3 KB	eda48d3e	download
LICENSE	11.3 KB	f938136e	download
chat_template.jinja	7.57 KB	a585dec8	download
config.json	3.05 KB	273ce437	download
README.md	2.42 KB	bd4baa2d	download
.gitattributes	1.53 KB	52373fe2	download
preprocessor_config.json	390 B	2ea84a43	download
video_preprocessor_config.json	385 B	3ba673a5	download

README current version from Hugging Face

library_name: transformers
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3.5-9B/blob/main/LICENSE
pipeline_tag: image-text-to-text
base_model:

Qwen/Qwen3.5-9B
tags:
abliterated
uncensored

huihui-ai/Huihui-Qwen3.5-9B-abliterated

This is an uncensored version of Qwen/Qwen3.5-9B 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 v0.17.7

You can use huihui_ai/qwen3.5-abliterated:9b directly,

ollama run huihui_ai/qwen3.5-abliterated:9b

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.

2026-03-14Duplicate from huihui-ai/Huihui-Qwen3.5-9B-abliterated68af8382.4 KB
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