QwQ-32B
Matching R1 reasoning yet 20x smaller
QwQ-32B launched on March 7, 2025 with 197 votes, #194 of 7,215 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
QwQ-32B, from Alibaba Qwen team, is a new open-source 32B LLM achieving DeepSeek-R1 level reasoning via scaled Reinforcement Learning. Features a "thinking mode" for complex tasks.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
QwQ is the reasoning model of the Qwen series. Compared with conventional instruction-tuned models, QwQ, which is capable of thinking and reasoning, can achieve significantly enhanced performance in downstream tasks, especially hard problems. QwQ-32B is the medium-sized reasoning model, which is capable of achieving competitive performance against state-of-the-art reasoning models, e.g., DeepSeek-R1, o1-mini. Note: For the best experience, please review the usage guidelines before deploying QwQ models. For more details, please refer to our blog , GitHub , and Documentation . QwQ is based on Qwen2.5, whose code has been in the latest Hugging face transformers . We advise you to use the…from huggingface.co
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