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LatestUnknownS
UnknownText / LLM

German consortium releases open 30B model Soofi S

A collaborative European effort ships a dense 30-billion-parameter model that claims top marks on both English and German benchmarks.

Jul 16, 2026
NotableOther

A German AI consortium has released Soofi S, an open large language model with roughly 30 billion parameters, and says it leads benchmark rankings in both English and German. According to The Decoder, the model is a dense architecture rather than a mixture-of-experts design, placing it in the mid-size tier that has become popular for teams that want strong performance without the infrastructure demands of frontier-scale systems.

The headline claim is bilingual strength. Most widely used open models are trained primarily on English data, and their German performance often lags. Soofi S is positioned to close that gap, which matters for European organizations navigating data-residency rules, regulated industries, and users who expect fluent output in their own language.

Why it matters

  • A 30B dense model is large enough to be capable yet small enough to self-host, a practical sweet spot for enterprises and researchers.
  • Strong German-language results address a persistent weak point in the open ecosystem.
  • A consortium model signals continued momentum for sovereign, European-led AI efforts alongside the dominant US and Chinese releases.

The usual caveat applies to any launch that leads with benchmark wins: leaderboard scores are a starting point, not a verdict. Independent evaluation, clarity on the training data and license terms, and real-world testing will determine whether Soofi S earns a lasting place in the crowded field of open mid-size models. For now, it adds a notable European entry worth watching.

Sources

  • German AI consortium releases Soofi S, an open 30B model that tops benchmarks

    Hacker News

    Visit
OlderNVIDIA's Nemotron-3-Embed 8B tops RTEB retrieval testNVIDIA · Embeddings · 4 months agoNewerNVIDIA's Audio-Visual Flamingo Fuses Sound and SightNVIDIA · Any-to-Any · 4 months ago

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Hacker News

Specs

Parameters30B
LicenseOTHER
Downloads10
Likes110

Can you run it?

Runs on a 24 GB GPU at 4-bit.

  • BF16 (as published)

    80 GB GPU (A100 / H100) · 128 GB Mac Studio

    63.2 GB
  • 8-bit

    48 GB GPU (RTX 6000) or 2×24 GB · 64 GB Mac

    35 GB
  • 4-bit

    24 GB GPU (RTX 3090 / 4090) · 32 GB Mac

    21.2 GB
Your machine
  • Precision not published; assuming 16-bit (BF16) weights.
  • Parameter count is an editorial estimate — no weights metadata on Hugging Face.
  • KV cache approximated from model size (no config metadata) at 8,192 tokens.

Estimated from the parameter count. Assumes an 8K context and ~1 GB runtime overhead; actual needs vary. How we estimate


Modalities

Text / LLM
2 versions — view changelog

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