Five distinct small language models simulated a complex financial drama to test multi-agent coordination. Researchers from Hugging Face and partner labs assigned specific personas to each model to observe emergent conflict and negotiation. The experiment proves that specialized small models can maintain consistent roles. This reduces the compute costs for complex agentic simulations.