1.0思为交互https://idmakers.cn思为交互https://idmakers.cn/index.php/author/yangzhaoshuo/谷歌的TurboQuant AI压缩算法可以将LLM内存使用量降低6倍 - 思为交互rich600338<blockquote class="wp-embedded-content" data-secret="7YnNPneB47"><a href="https://idmakers.cn/index.php/2026/03/26/news-7/">谷歌的TurboQuant AI压缩算法可以将LLM内存使用量降低6倍</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://idmakers.cn/index.php/2026/03/26/news-7/embed/#?secret=7YnNPneB47" width="600" height="338" title="《谷歌的TurboQuant AI压缩算法可以将LLM内存使用量降低6倍》—思为交互" data-secret="7YnNPneB47" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script>
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https://idmakers.cn/wp-content/uploads/2026/03/67A7833C-084E-4D54-B1C0-47609649E67A.png709507谷歌研究团队推出TurboQuant压缩算法，通过结合PolarQuant坐标转换与QJL误差校正，将大语言模型的键值缓存压缩至3比特，实现6倍内存缩减与8倍性能提升，且不损失模型精度。该技术无需额外训练即可适配现有模型，有望降低AI部署成本，尤其可推动移动端复杂模型的本地化运行。