微信AI开源多模态嵌入模型WeMM-Embedding，提供2B、4B、9B三个版本。该模型支持文本、图像、视频、视觉文档及任意交错的多模态混合输入，具备强兼容能力。其核心采用多模态同构技术，可同时深度理解文字与多种视觉信息，提升跨模态检索与理解效果。
微信AI于9月4日开源多模态嵌入模型WeMM-Embedding，含2B、4B、9B三个版本，支持文本、图像、视频、视觉文档等交错输入，可在统一语义空间比较检索，已在朋友圈搜索、视频号推荐等场景落地。
腾讯微信视觉团队开源多模态嵌入模型WeMM-Embedding，支持文本、图像等多模态输入，提供2B、4B、9B三个版本以适应不同部署需求，采用统一技术架构与训练策略，旨在为AI开发者提供支撑，推动垂直领域创新应用。
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