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Soofi S 30B-A3B: Open-source MoE hybrid Mamba Transformer for German and English

Researchers released Soofi S 30B-A3B, a sovereign open-source Mixture-of-Experts foundation model for German and English. Its hybrid Mamba-Transformer design activates only 3B of 30B parameters per token, achieving throughput advantages for long-context deployment. Pretrained on 27 trillion tokens with up-weighted German data, it matches dense 14-27B models on English and German benchmarks while excelling in code tasks.

0 engagement·1 source·Fri, Jul 10, 2026, 01:51 PM
The model, named Soofi S 30B-A3B, is a Mixture-of-Experts (MoE) hybrid combining Mamba and Transformer architectures. It activates only 3 billion parameters out of 30 billion total per token, and its inference cache remains near-constant as context length grows, making it efficient for long-context, high-concurrency scenarios. Pretrained on roughly 27 trillion tokens with deliberately up-weighted German data, it achieves performance comparable to dense models in the 14 to 27 billion parameter range on aggregate English and German benchmarks, and attains the best code aggregates in both languages. The model is released as open-source, emphasizing sovereignty for German and English language AI.

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Mixture-of-Experts(concept)Soofi S 30B-A3B(model)Mamba(concept)Transformer(concept)

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