Soofi S 在 3.2B 激活參數下於德語基準測試中擊敗 OLMo
德國聯合體發布了 soofi s，這是一款 30b 混合模型，僅激活 3.2b 參數，在德語和英語方面表現優於 olmo 3，並在長上下文中保持吞吐量。
a german research consortium trained the 30b open-source model soofi s entirely on deutsche telekom's ai cloud, using a hybrid architecture that activates just 3.2b parameters per token to match the compute cost of much smaller models. by focusing 15% of phase 2 training data on german sources, the model surpasses fully open competitors like olmo 3 32b and apertus 70b on german and english benchmarks. its design avoids the throughput drop-off typical of dense transformers, delivering stable generation speeds from 4k to 256k tokens. this release provides a high-performance, resource-efficient option for german-language applications that requires less hardware than comparable dense models.