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README.md

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-title: README
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+title: SouthByte
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+short_description: AI governance for German SMEs — EU AI Act, ISO/IEC 42001
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-Edit this `README.md` markdown file to author your organization card.
+# SOUTH.BYTE
+
+**AI governance and IT consulting for German mid-sized companies.**
+EU AI Act · ISO/IEC 42001 · on-premise LLM deployments · Munich area.
+
+Run by [Michael van den Berg](https://huggingface.co/M-vdBerg) — ISO/IEC 42001 Lead Implementer,
+ITIL 4 Strategic Leader. Website: **[southbyte.de](https://southbyte.de/)**
+
+---
+
+## What this organization is for
+
+SouthByte advises companies that already use AI and need to know what that means legally and
+operationally. The work is hands-on rather than paper-only: model selection, on-premise
+deployment, risk classification under the EU AI Act, and the governance around it.
+
+This org exists to host what can be shared publicly from that work. Right now that is mainly
+the evaluation results linked below — the models themselves are third-party, so there is
+nothing to re-upload.
+
+## Public artifacts
+
+**Model evaluations — [results.southbyte.de](https://results.southbyte.de/)**
+
+Own test rig for on-premise operation, run on an NVIDIA DGX Spark (GB10). Current run:
+**45 language models** served under vLLM, **5 guard models**, **6 image models** and
+**16 TTS models**, scored on answer quality, German-language capability, bias, code and
+throughput. Machine-readable summary: [`summary.json`](https://results.southbyte.de/summary.json).
+
+The headline metrics are public. The security-relevant detail reports are deliberately not —
+publishing a ranked list of which guard models fail on which attack class helps the wrong
+people. If you work in AI safety and need them for research, get in touch.
+
+**German PII recognizers for Presidio —
+[data-privacy-stack/presidio](https://github.com/data-privacy-stack/presidio)**
+
+Contributed the `DE_*` recognizers for German personally identifiable data, including
+checksum validation implemented against primary sources. Presidio is the widely used
+open-source framework for detecting and anonymizing PII — a building block most German AI
+projects need sooner or later.
+
+## What you will not find here
+
+No fine-tunes of other people's models re-uploaded under a new name, no benchmark claims
+without a reproducible setup, and no "AI-powered" anything. If something is published here,
+the method is documented and the numbers can be checked.
+
+## Contact
+
+kontakt@southbyte.de · [southbyte.de](https://southbyte.de/) ·
+[LinkedIn](https://www.linkedin.com/in/michael--van-den-berg/) ·
+[GitHub](https://github.com/MvdB)
+
+---
+
+## Deutsch
+
+**AI Governance und IT-Beratung für den Mittelstand.** EU AI Act, ISO/IEC 42001,
+On-Prem-Betrieb von Sprachmodellen. Großraum München.
+
+Diese Organisation hostet, was aus der Beratungsarbeit öffentlich geteilt werden kann.
+Derzeit sind das vor allem die **Modell-Evaluationen** unter
+[results.southbyte.de](https://results.southbyte.de/): 45 Sprachmodelle unter vLLM,
+5 Guard-Modelle, 6 Bildmodelle und 16 TTS-Modelle auf einer NVIDIA DGX Spark, bewertet nach
+Antwortqualität, Deutschfähigkeit, Bias, Code und Durchsatz.
+
+Die Kennzahlen sind veröffentlicht, die sicherheitsrelevanten Detailberichte bewusst nicht.
+Dazu kommen die deutschen PII-Erkennungsregeln (`DE_*`) für
+[Presidio](https://github.com/data-privacy-stack/presidio), inklusive Prüfziffernvalidierung
+nach Primärquellen.
+
+Kontakt: kontakt@southbyte.de