QwQ-32B: Embracing the Power of Reinforcement Learning
SMRTR summary
RL scaling with QwQ-32B, a 32-billion-parameter model, achieves results similar to DeepSeek-R1's 671 billion parameters, demonstrating RL's effectiveness when applied to robust foundation models pretrained on extensive world knowledge.
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