Qwen publishes QwQ-32B with RL scaling research

Qwen released a research blog post on QwQ-32B, a model whose development centered on scaling reinforcement learning rather than conventional pretraining and post-training alone. The post discusses RL as a path to improved reasoning, cites DeepSeek R1's cold-start data and multi-stage training approach, and states the work explores RL scalability. Platform badges in the source point to availability on Qwen Chat, Hugging Face, and ModelScope, but the raw text contains no benchmark results, model architecture details, or capability claims.