Llama-Guard-3-1B
| Property | Value |
|---|---|
| Author | Meta-llama |
| Model Size | 3.1B parameters |
| Model URL | https://huggingface.co/meta-llama/Llama-Guard-3-1B |
What is Llama-Guard-3-1B?
Llama-Guard-3-1B is a specialized safety-focused language model developed by Meta, designed with 3.1 billion parameters. It represents Meta's commitment to responsible AI development, specifically focused on content moderation and safety features.
Implementation Details
Built on Meta's Llama architecture, this model is optimized for detecting and filtering potentially harmful content. The implementation leverages advanced natural language processing techniques while maintaining efficiency with its relatively compact 3.1B parameter size.
- Built on the proven Llama architecture
- Optimized for safety and content moderation
- Efficient 3.1B parameter implementation
Core Capabilities
- Content safety evaluation and filtering
- Harmful content detection
- Safety-focused text analysis
- Integration with Meta's privacy framework
Frequently Asked Questions
Q: What makes this model unique?
Llama-Guard-3-1B stands out for its specialized focus on content safety and moderation, while maintaining the efficiency of the Llama architecture. It's specifically designed to help ensure safe and responsible AI interactions.
Q: What are the recommended use cases?
The model is best suited for content moderation systems, safety-critical applications, and platforms requiring robust content filtering capabilities. It's particularly valuable for applications where content safety is a priority.
