Overview

ÆRA-4B is a 4 billion parameter language model from AND EMILI, engineered for enterprise-focused applications rather than general-purpose conversation. Its core design emphasizes context-based reasoning and structured outputs, making it a reliable foundation for intelligent agents and automation.

Key Capabilities

• Native Italian Language Support: Optimized for understanding and generating Italian text.
• Context-Only Responses: Trained to rely exclusively on provided context, explicitly stating when information is unavailable to minimize hallucination.
• Structured Output Generation: Reliably produces well-formed JSON, performs entity extraction, classification, and sentiment analysis within context.
• Function Calling: Integrates seamlessly into agentic workflows and automation pipelines through native tool use support.
• On-premises Deployment: Optimized for local deployment on standard hardware, ensuring privacy and no external API calls.

Good For

• Retrieval Augmented Generation (RAG) implementations and viability testing.
• Document analysis and information extraction in enterprise settings.
• Automated workflows requiring predictable, structured outputs.
• Multi-agent systems where reliable behavior is critical.
• Companies looking to build proof-of-concepts for LLM-based solutions with a lightweight, efficient model.