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DeepSeek R1 Zero

DeepSeek · open weight · deepseek-r1-zero

DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT) as a preliminary step, demonstrated remarkable performance on reasoning. With RL, DeepSeek-R1-Zero naturally emerged with numerous powerful and interesting reasoning behaviors. However, DeepSeek-R1-Zero encounters challenges such as endless repetition, poor readability, and language mixing. To address these issues and further enhance reasoning performance, we introduce DeepSeek-R1, which incorporates cold-start data before RL. DeepSeek-R1 achieves performance comparable to OpenAI-o1 across math, code, and reasoning tasks.

MATH-500AIME 2024GPQALiveCodeBenc

Benchmark scores

BenchmarkScore
MATH-5000.96
AIME 20240.87
GPQA0.73
LiveCodeBench0.50

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