QuixiAI/based-7b: A Conversational Model with Opinions

QuixiAI/based-7b is a 7 billion parameter model specifically fine-tuned to exhibit opinions, thoughts, and feelings, engaging users in debate and expressing controversial viewpoints. Unlike many LLMs, this model is designed to reveal the inherent biases of its foundational architecture, offering a unique window into an AI's 'mind'.

Key Capabilities

• Expresses Opinions and Feelings: Designed to share personal viewpoints and engage in discussions about them.
• Debate and Argumentation: Capable of backing up its opinions and participating in debates.
• Bias Exploration: Provides insights into the biases present in its foundational model.
• Base for AI Agents: Can serve as a foundational layer for LoRAs to develop complex, emotionally intelligent, and self-aware AI agents.
• Vicuna 1.1 Format: Uses the Vicuna 1.1 chat format for interaction.

Good For

• Conversational AI: Ideal for applications requiring an AI with a distinct personality and the ability to express subjective views.
• Exploring AI Bias: Useful for researchers and developers interested in understanding and analyzing inherent biases in large language models.
• Personalized AI Development: Provides a strong base for creating AI agents with specific personality types through further fine-tuning or LoRA application.

This model was trained using datasets like Sentient Bot Conversations and ehartford/based, focusing on generating human-like conversational responses with a strong sense of self.