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We beat Gemini Embedding 2 by training only 16M params (open weights)

仅用1600万参数训练出超越Gemini Embedding 2的开源嵌入模型，适合AI研究者与开发者用于轻量化语义向量计算
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为什么值得关注

在极小参数量下实现对标大模型的性能，推动轻量化AI模型的实用化突破

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