Overview
Overview
This model, grimjim/gemma-3-12b-it-biprojected-abliterated, is a specialized variant of Google's gemma-3-12b-it.
Key Modifications
The primary differentiator of this model is the application of a technique called "projected abliteration." This method was used to:
- Reduce Refusal Rates: The model has been engineered to refuse user prompts far less often compared to its base model.
- Maintain Safety Awareness: Despite the reduced refusal, the model is designed to retain an understanding of safety and potential harms, aiming for a balance between permissiveness and responsible AI behavior.
- Targeted Intervention: The process involved determining refusal direction and removing projected contributions onto the harmless direction of specific layers, minimizing overall model damage.
No subsequent fine-tuning was applied after this modification process.
Use Cases
This model is particularly well-suited for applications where:
- Users require a more direct and less restrictive response style from the AI.
- The goal is to minimize instances of the model refusing to answer, while still acknowledging safety guidelines.
- Developers need a Gemma-based model with a modified refusal behavior for specific interactive or creative tasks.