A dense AI model with 32B parameters, excelling in coding, math, and local deployment. Compact, efficient, and powerful ...
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DeepSeek-R1-beating perf in a 32B package? El Reg digs its claws into Alibaba's QwQHow to tame its hypersensitive hyperparameters and get it running on your PC Hands on How much can reinforcement learning - ...
This remarkable outcome underscores the effectiveness of RL when applied to robust foundation models pre-trained on extensive ...
Learn More Qwen Team — a division of Chinese e-commerce giant Alibaba developing its growing family of open-source Qwen large language models (LLMs) — has introduced QwQ-32B, a new 32-billion ...
Alibaba’s QWQ-32B is a 32-billion-parameter AI designed for mathematical reasoning and coding. Unlike massive models, it ...
Alibaba developed QwQ-32B through two training sessions. The first session focused on teaching the model math and coding skills. To support the learning process, Alibaba set up a server that ran the ...
The company’s release of QwQ-Max-Preview coincided with the DeepSeek campaign to make five of its code repositories public. Qwen’s latest reasoning model is part of an AI system replicating ...
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