Kakao open-sources Kanana-2 model optimized for agentic AI

Kakao has released Kanana-2, its most advanced in-house large language model (LLM) featuring enhanced performance and better efficiency, as open source and optimized for agentic artificial intelligence (AI) systems. The company announced that it has open-sourced three new models: Base, Instruct and Thinking. The Instruct model is characterized by an improved ability to comply with instructions through post-training. The Thinking model specializes in reasoning. This marks the first time that Kakao has open-sourced its reasoning model while also giving full public access to model weights for developers who wish to fine-tune them with their own datasets. Since unveiling its proprietary Kanana lineup last year, the company has steadily expanded its open-source offerings from lightweight models to Kanana-1.5, which was built for complex problem solving. Kanana-2 represents the company’s latest leap forward in research, delivering major improvements in performance and efficiency with an emphasis on building AI that can understand user intent and act proactively. “Innovative AI services ulti