Hugging Face Overview
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.