QwQ-32B doesn’t just hold its own; it excels, delivering top-tier performance comparable or superior to much larger models like DeepSeek-R1 and ChatGPT (GPT-4o), while using significantly fewer resources. Its impressive capabilities combined with reduced hardware needs make it the ideal choice for developers and enterprises aiming for cutting-edge performance without massive infrastructure ...

QwQ-32B-Preview is an experimental research model developed by the Qwen Team, focused on advancing AI reasoning capabilities. As a preview release, it demonstrates promising analytical abilities while having several important limitations:

4 days ago · We are excited to introduce QwQ-32B, a model with 32 billion parameters that achieves performance comparable to DeepSeek-R1, which boasts 671 billion parameters (with 37 billion activated). This remarkable outcome underscores the effectiveness of RL when applied to robust foundation models pretrained on extensive world knowledge.

4 days ago · 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 ...

Qwen/QwQ-32B is a breakthrough 32-billion parameter reasoning model delivering performance comparable to state-of-the-art (SOTA) models 20x larger like DeepSeek-R1 (671B parameters) on complex reasoning and coding tasks. Deployed on Groq's hardware, it provides the world's fastest and cost-efficient reasoning, producing chains and results in ...

4 days ago · QwQ-32B is based on Qwen-2.5-32B, the Qwen Team’s frontier general-purpose large language model (LLM). The team trained the base mode with reinforcement learning (RL) on with “outcome-based rewards.” This means the model was left to reason by itself and produce a result. The result was then checked with a verifier such as a code ...

4 days ago · Alibaba Cloud has introduced QwQ-32B, a compact reasoning model with only 32 billion parameters, delivering performance comparable to other larger cutting edge models.. Built on Qwen2.5-32B, Alibaba Cloud’s latest large language model with the exact parameter count, QwQ-32B excels across a variety of benchmarks, including AIME 24 (mathematical reasoning), Live CodeBench (coding proficiency ...

4 days ago · QwQ-32B, Alibaba’s latest iteration, builds on these advancements by integrating RL and structured self-questioning, positioning it as a serious competitor in the growing field of reasoning ...

14 hours ago · QwQ-32B is a 32-billion-parameter AI model from the Qwen series. It uses Reinforcement Learning (RL) to improve reasoning and problem-solving skills, performing as well as larger models like DeepSeek-R1. It can adapt its reasoning based on feedback and use tools effectively. The model is open-weight, available on Hugging Face and ModelScope ...

Nov 28, 2024 · QwQ-32B-Preview is an experimental research model developed by the Qwen Team, focused on advancing AI reasoning capabilities. As a preview release, it demonstrates promising analytical abilities while having several important limitations: