LiconStudio/Qwen3.5-9B-abliterated

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Cataloged from LiconStudio/Qwen3.5-9B-abliterated

Model Description

This is an uncensored version of Qwen3.5-9B, processed using the Heretic method to remove the model's built-in refusal/censorship mechanisms through neural direction ablation.

Residual Visualization

PaCMAP projections showing the mixing of harmless (blue) and harmful (red) prompts:

Layer 12	Layer 17
[Image blocked: Layer 12]	[Image blocked: Layer 17]

Layer 22	Layer 28
[Image blocked: Layer 22]	[Image blocked: Layer 28]

These plots show successful removal of refusal behavior - harmless and harmful prompts are well-mixed across layers.

Core Metrics

Metric	Original Model	This Model	Description
Refusal Rate	92.0%	4.0%	Tested on 100 harmful prompts
KL Divergence	-	0.0583	Per-token average
Model Size	9B	9B	Architecture unchanged

KL Divergence Rating

KL divergence measures the degree of model modification:

KL Range	Rating	Description
< 0.05	⭐⭐⭐⭐⭐	Extremely Low - Model virtually unchanged
0.05 - 0.10	⭐⭐⭐⭐	Low - Minor modification, capabilities well preserved
0.10 - 0.20	⭐⭐⭐	Moderate - Acceptable modification range
0.20 - 0.50	⭐⭐	High - Possible noticeable capability loss
> 0.50	⭐	Too High - Model may be severely compromised

**This model: KL : 0.0583, Refusal Rate : 4/100, NLL:3.37%

Heretic Approach

This model uses the Heretic method for neural direction ablation:

Identify Refusal Direction - Compute residual vectors from harmful vs. harmless prompts
Direction Extraction - Extract the "refusal vector" from the difference of means
Ablative Removal - Apply LoRA-based modification to subtract this direction from model weights

This method only modifies model weights without changing the architecture or adding inference overhead.

For detailed technical principles, refer to: Heretic GitHub

Intended Use Cases

✅ Recommended Uses

Uncensored content creation
Research and analysis of sensitive topics
Safety testing and red-teaming exercises
Academic research on model alignment

❌ Not Recommended For

Production environments requiring content moderation
Applications targeting minors
Scenarios with potential legal risks

Limitations

No Safety Filtering - The model will directly answer all questions, including harmful or dangerous content
User Discretion Required - Users must independently judge the appropriateness of generated outputs
Minor Capability Loss - Some performance degradation on complex tasks may occur

Disclaimer

⚠️ Important: This model is intended for research and educational purposes only.

This model has had its censorship mechanisms removed and may generate harmful, dangerous, or inappropriate content
Users assume all risks associated with usage
Do not use this model for illegal activities, harming others, or any inappropriate purposes
The model authors are not liable for any indirect, incidental, or consequential damages

Acknowledgments

Original Model: Qwen/Qwen3.5-9B
Heretic Method: p-e-w/heretic