谷歌EmbeddingGemma 2性能超越两倍规模的竞争对手
谷歌发布了embeddinggemma 2，一个7.4亿参数的模型，其性能超过了在多模态嵌入基准测试中规模两倍的竞争对手，并且可以在本地运行，无需api密钥。
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.