cognition-ai/Kevin-32B

Kevin-32B is a 32 billion parameter model developed by cognition-ai, specifically fine-tuned for generating efficient CUDA kernels. It leverages multi-turn reinforcement learning and is benchmarked using KernelBench, making it specialized for high-performance GPU programming tasks.