谷歌EmbeddingGemma 2性能超越兩倍規模的競爭對手
谷歌發布了embeddinggemma 2，一個7.4億參數的模型，其性能超過了在多模態嵌入基準測試中規模兩倍的競爭對手，並且可以在本地運行，無需api金鑰。
google released embeddinggemma 2, an open model with 740 million parameters that converts text, images, video, audio, and code into numerical vectors. it achieves a score of 78.68 on the massive text embedding benchmark (code), surpassing its predecessor's score of 68.76. embeddinggemma 2 can run locally without an api key, processing queries in 20-70 milliseconds via webgpu in the browser, and requires only around 191 mb of ram. paired with small open models like gemma 4, it enables offline rag apps without sending data to external servers.