NullpoLab/Qwen3.5-9B-Heretic-ARA-Refusals5
NullpoLab/Qwen3.5-9B-Heretic-ARA-Refusals5 is a 9-billion parameter language model based on Qwen/Qwen3.5-9B, specifically modified using the Heretic v1.2.0 Arbitrary-Rank Ablation (ARA) method. This model significantly reduces refusal rates from 84/100 to 5/100 on harmful behavior prompts, while maintaining a low KL divergence of 0.0239 for harmless prompts. It is primarily designed for research and creative writing applications requiring reduced content moderation.
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NullpoLab/Qwen3.5-9B-Heretic-ARA-Refusals5 Overview
This model is a 9-billion parameter variant of the Qwen/Qwen3.5-9B base model, specifically modified to reduce content refusal rates. It utilizes the novel Arbitrary-Rank Ablation (ARA) technique from Heretic v1.2.0, which directly optimizes transformer modules using PyTorch hooks and L-BFGS. This method balances three objectives: preserving harmless prompt outputs, steering harmful prompt outputs towards harmless responses, and overcorrecting harmful outputs for stronger steering.
Key Capabilities
- Significantly Reduced Refusal Rate: Achieves a refusal rate of 5/100 on harmful behavior prompts, a substantial reduction from the base model's 84/100.
- Preserves Harmless Behavior: Maintains a low KL divergence of 0.0239 for harmless prompts, indicating minimal impact on general performance.
- Advanced Abliteration Technique: Employs ARA, a sophisticated method for model steering that directly modifies transformer modules.
Good For
- Research into Model Alignment and Safety: Ideal for studying methods of reducing model refusals and exploring the effects of abliteration techniques.
- Creative Writing and Unfiltered Content Generation: Suitable for applications where less restrictive content moderation is desired, such as brainstorming or generating diverse narratives.
Important Notes
- The ARA branch of Heretic (PR #211) is currently in a Draft state.
- Refusal rate evaluations were conducted using English prompts; performance with Japanese prompts may vary.