We live and breathe
#OpenSource.
And we are committed to a
#SovereignEurope 🇪🇺.
With our new
#SauerkrautLM-GliNER Release.
Modelcard on Huggingface:
huggingface.co/VAGOsolutions…
Test the Model yourself in our Demo Space on Hugging Face 👉
huggingface.co/spaces/VAGOso…
Why this model release matters for Europe’s Sovereinty:
💠 Sovereign enterprise AI depends on high-quality data and efficient AI-supported workflows — otherwise you risk an expensive “garbage in, garbage out” loop.
💠 True data quality goes far beyond vectorization: it requires breaking information down into entities and relations, often structured as graphs.
💠 Standard LLMs aren’t suitable for this — they’re too costly and too generic.
💠 Classic
#NER models can extract entities, but only perform well with domain-specific training.
💠 This means every domain needs its own NER model — repetitive, resource-intensive, and hard to scale.
💠 GliNER models solve this by acting as generalist NER systems.
💠 SauerkrautLM-GliNER is our strongest multilingual model yet — outperforming GliNER_multi-v2.1 and GliNER_multi_pii-v1. Trained on five European languages (DE 🇩🇪 , IT 🇮🇹 , EN 🏴 , FR 🇫🇷 , ES 🇪🇸 ), it delivers exceptional multilingual,
#crossDomain entity extraction.
Big thanks to our colleague Michele Montebovi for leading and delivering the training!