Developer creates small 144M-parameter AI model that routes 82% of agent decisions off LLMs

A developer has built an open-source typed decision model called Phocinae-Largha-150M-v1. The 144.3-million-parameter model specializes in making structured decisions like yes/no questions rather than generating text. It processes decisions in approximately 18.6 milliseconds on GPU or about 1.5 seconds on CPU alone. When deployed with a confidence threshold, the system routed 82% of decisions away from larger language models while slightly improving overall accuracy. The model is available under the Apache-2.0 license for local deployment.
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