Soofi S, 3.2B 활성 파라미터로 독일어 벤치마크에서 OLMo 제친다
독일 컨소시엄이 soofi s를 공개했습니다. 3.2b 파라미터만 활성화하는 30b 하이브리드 모델로, 독일어와 영어에서 olmo 3를 능가하면서도 긴 컨텍스트에서 처리량을 유지합니다.
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.