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.
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