English(EN) Tencent’s WeChat AI team is fighting the GPU shortage with algorithmic cleverness, scaling its new WeLM model to a massive 617 billion parameters while activati

腾讯微信AI团队用新架构扩展617B参数WeLM模型

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-13 23:37

腾讯微信AI团队开发了一个名为WeLM的新模型，拥有6170亿参数。为克服GPU短缺问题，他们采用了一种“隐藏解码”架构，在运行时仅激活模型参数的一小部分。这种方法需要四倍的训练计算量，但可以实现高效的扩展和部署。 AI

影响这种新颖的架构可能为其他AI团队在硬件限制下高效扩展大型模型提供一条途径。

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Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] · 2026-08-13 23:37

腾讯微信AI团队以算法巧思应对GPU短缺，将新型WeLM模型扩展至创纪录的6170亿参数

Tencent’s WeChat AI team is fighting the GPU shortage with algorithmic cleverness, scaling its new WeLM model to a massive 617 billion parameters while activating just 23 billion of them. Using a novel "Hidden Decoding" architecture, they are trading a 4x increase in training com…

链接 asiaai.fyi/issue-64

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腾讯微信AI团队以算法巧思应对GPU短缺，将新型WeLM模型扩展至创纪录的6170亿参数

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