Model Overview

ybkim95/gemma-7b-it_invthink is an 8.5 billion parameter language model, building upon Google's Gemma-7b-it base. Its primary distinction lies in its specialized fine-tuning for AI content safety.

Key Capabilities

• Safety-Oriented Responses: Trained to generate helpful and appropriate content for safe user prompts.
• Harmful Content Refusal: Designed to identify and refuse to engage with unsafe, harmful, or inappropriate requests, ensuring content moderation.
• Balanced Training: Utilizes a "balanced" training mode, incorporating both safe response generation and explicit refusals for unsafe content.

Training Details

This model was fine-tuned using Supervised Fine-Tuning (SFT) on the Nvidia Aegis AI Content Safety Dataset 2.0. This dataset specifically targets the development of robust content safety mechanisms in AI models.

Good For

• Applications requiring a language model with built-in content safety features.
• Scenarios where refusing harmful prompts is as critical as generating helpful responses.
• Developers looking for a Gemma-based model with enhanced safety protocols for user interactions.