LlamaGuard-7b
| Property | Value |
|---|---|
| Developer | Meta |
| Model Size | 7B parameters |
| Model URL | huggingface.co/meta-llama/LlamaGuard-7b |
| License | Meta AI License |
What is LlamaGuard-7b?
LlamaGuard-7b is Meta's specialized AI safety model built on the Llama architecture, designed specifically for content filtering and safety monitoring in AI applications. This 7-billion parameter model represents Meta's commitment to responsible AI development and deployment.
Implementation Details
Built on Meta's Llama foundation model architecture, LlamaGuard-7b is optimized for detecting and filtering potentially harmful or inappropriate content. The model processes and analyzes input text according to Meta's safety guidelines and privacy policies.
- 7B parameter architecture based on Llama
- Specialized safety-focused fine-tuning
- Integrated privacy policy compliance
- Hosted on Hugging Face for accessibility
Core Capabilities
- Content safety assessment and filtering
- Policy compliance verification
- Real-time content moderation
- Integration with existing AI systems
- Privacy-aware processing
Frequently Asked Questions
Q: What makes this model unique?
LlamaGuard-7b stands out for its specialized focus on AI safety and content moderation, built on Meta's robust Llama architecture while maintaining compliance with Meta's privacy standards.
Q: What are the recommended use cases?
The model is ideal for content moderation systems, safety-critical AI applications, and organizations requiring robust content filtering capabilities while maintaining privacy compliance.
