zetasepic/Qwen2.5-32B-Instruct-abliterated-v2

Model Overview

zetasepic/Qwen2.5-32B-Instruct-abliterated-v2 is an instruction-tuned large language model, built upon the robust Qwen2.5-32B-Instruct architecture. This version has undergone a specialized 'abliteration' process, leveraging code from the refusal_direction project. The primary goal of this modification is to systematically reduce the model's tendency towards admonition and moral appeal in its generated text.

Key Capabilities

• Reduced Moralizing: Engineered to minimize outputs containing ethical judgments, advice, or moralizing tones.
• Direct Responses: Aims to provide more factual and less opinionated or preachy answers.
• Qwen2.5 Foundation: Retains the strong language understanding and generation capabilities of the original Qwen2.5-32B-Instruct model.
• Large Scale: With 32.8 billion parameters and a 131,072-token context window, it handles complex queries and extensive information.

Good For

• Applications requiring strictly neutral or objective language.
• Use cases where avoiding unsolicited advice or moral commentary is crucial.
• Research into controlling specific behavioral aspects of large language models.
• Developers seeking a powerful instruction-tuned model with a modified response style.

For technical details on the abliteration technique, refer to this article.