PRIME is an open-source online reinforcement learning solution that boosts the reasoning capabilities of language models through implicit process rewards. One of the main advantages of this technology is its ability to provide dense reward signals effectively without relying on explicit process labels, thus accelerating both model training and enhancements in reasoning abilities. PRIME performs exceptionally well in mathematical competition benchmarks, surpassing existing large language models. It has been collaboratively developed by multiple researchers and has relevant code and datasets published on GitHub. PRIME is positioned to provide robust model support for users requiring complex reasoning tasks.