Llama 3.3
Advanced multilingual AI model with enhanced performance and efficiency for diverse applications.
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for Llama 3.3, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.
Overview
Llama 3.3 is a 70-billion parameter, instruction-tuned AI model optimized for text-based tasks. It offers improved performance in reasoning, mathematical understanding, and instruction following compared to previous versions. Llama 3.3 supports multiple languages and excels in complex tasks while requiring fewer computational resources than larger models
Key features
- 128k token context window
- Enhanced multilingual capabilities
- Improved code understanding and generation
- Advanced reasoning and mathematical skills
- Synthetic data generation
- Reinforcement Learning from Human Feedback (RLHF)
- Llama Guard safety framework
Use cases
- Multilingual customer support and chatbots
- Code generation and software development assistance
- Content creation and editing across languages
- Research and experimentation in AI
- Knowledge-based applications (e.g., question answering, summarization)
- Synthetic data generation for various applications