Discover QwQ-32B: an open-source AI specialized in math, coding, and science, delivering top-tier performance with efficient resource use.

QwQ is the reasoning-specialized model within the Qwen series. Unlike traditional instruction-tuned models, QwQ leverages advanced reasoning and critical thinking abilities to achieve superior performance on downstream tasks, especially those involving complex problem-solving.

Mar 6, 2025 · QwQ-32B is open-weight in Hugging Face and ModelScope under the Apache 2.0 license and is accessible via Qwen Chat. QwQ-32B is evaluated across a range of benchmarks designed to assess its mathematical reasoning, coding proficiency, and …

2 days ago · On March 5, 2025, Alibaba's Qwen Team open-sourced QwQ-32B, a 32-billion-parameter reasoning model that delivers strong performance on complex problem-solving tasks while requiring significantly less computational power than comparable models. Developed with advanced reinforcement learning techniques and architectural optimizations, QwQ-32B …

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.

Qwen released QwQ-32B, a powerful reasoning model with performance comparable to DeepSeek-R1 across multiple benchmarks. You may have encountered issues such as infinite loops, repetitions, <think> token errors, and fine-tuning challenges, which do not reflect the model’s true quality.

Mar 6, 2025 · 模型效果 QwQ-32B 在一系列基准测试中进行了评估，测试了数学推理、编程能力和通用能力。以下结果展示了 QwQ-32B 与其他领先模型的性能对比，包括 DeepSeek-R1-Distilled-Qwen-32B、DeepSeek-R1-Distilled-Llama-70B、o1-mini 以及原始的 DeepSeek-R1。 强化学习 我们在冷启动的基础上 ...

Nov 28, 2024 · QwQ embodies that ancient philosophical spirit: it knows that it knows nothing, and that’s precisely what drives its curiosity. Before settling on any answer, it turns inward, questioning its own assumptions, exploring different paths …

3 days ago · Hands on How much can reinforcement learning - and a bit of extra verification - improve large language models, aka LLMs? Alibaba's Qwen team aims to find out with its latest release, QwQ. Despite having a fraction of DeepSeek R1's claimed 671 billion parameters, Alibaba touts its comparatively compact 32-billion "reasoning" model as outperforming R1 in …

Mar 7, 2025 · QwQ-32B excelled in math and coding tests, outperforming OpenAI’s o1-mini and distilled versions of DeepSeek-R1. It also scored higher than DeepSeek-R1 in some evaluations like LiveBench and IFEval. The model leverages reinforcement learning and integrates agent capabilities for critical thinking and adaptive reasoning. Notably, QwQ-32B ...