grimjim/gemma-3-12b-it-projection-abliterated

Model Overview

This model, grimjim/gemma-3-12b-it-projection-abliterated, is a 12 billion parameter instruction-tuned language model based on google/gemma-3-12b-it. It features a context length of 32768 tokens.

Key Differentiator: Projected Abliteration

The primary distinction of this model is the application of "projected abliteration". This technique was used to modify the model without subsequent fine-tuning to repair any damage. The intended outcome is a model that:

• Refuses less often: It is designed to be less prone to declining user requests.
• Retains safety awareness: Despite reduced refusal, it still maintains an understanding of safety guidelines and potential harms.

Performance and Compliance

This model has demonstrated strong performance in compliance metrics. It recently achieved a 9.8 WC/10 rating on the UGI Leaderboard, tying for first place in compliance. This indicates its effectiveness in adhering to specified guidelines while processing requests.

Use Cases

This model is particularly well-suited for applications where:

• Reduced refusal rates are desired: For tasks where a model that is less likely to decline prompts is beneficial.
• Safety awareness is still critical: When maintaining an understanding of harmful content is important, even with a lower refusal threshold.
• High compliance is a priority: Its strong performance on compliance benchmarks suggests suitability for regulated or sensitive environments.