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Norwegian and Nordic Language Models

A complete, regularly updated overview of large language models (LLMs) trained on Norwegian, Swedish, Danish, Finnish, and Icelandic — covering open-weights releases, licences, and recommended use cases.

Last updated:2026-05-25 10:00 CET

State of Norwegian and Nordic LLMs

Norway, Sweden, and Finland have established strong academic and public-sector initiatives to train language models on their own languages. The most prominent include the NorBERT series from the University of Oslo, NbGPT from the National Library of Norway, GPT-SW3 from AI Sweden, and the Viking and Poro families from Silo AI. These models allow Nordic organisations to run AI entirely on local servers, ensuring compliance with GDPR and preserving linguistic and cultural heritage.

ModelCountryLanguagesOpen weightsLicenseBest for
NorBERT 3
by Universitetet i Oslo (UiO)
Norway
no, nn, en
YesMIT
Klassifisering, Navngitt enhetsgjenkjenning (NER), Søk- og relevansanalyse
NbGPT
by Nasjonalbiblioteket
Norway
no, nn, en, se
YesApache-2.0
Tekstgenerering, Oppsummering på norsk, Kulturell kontekstforståelse
GPT-SW3
by AI Sweden
Sweden
sv, no, da, is, en
YesAI Sweden License
Svensk og skandinavisk tekstbehandling, Spesialisert innholdsgenerering, Offentlig sektor i Sverige
Viking-7B
by Silo AI / SiloGen
Finland
fi, sv, no, da, is, en
YesApache-2.0
Nordisk flerspråklig oversettelse, Generell tekstskriving på finsk og svensk
Poro 34B
by Silo AI / TurkuNLP
Finland
fi, en
YesApache-2.0
Finsk og engelsk tekstgenerering, Forskning på lavressursspråk, Lokal kjøring av åpne modeller

Sources & methodology.

5 source references

Entries are structured by 24AI and validated against official or primary sources where provided. Strategic datasets may be manually reviewed by Aprex when clearly marked. Each entry carries source context and a confidence score.

  1. 01NorBERT 3 GitHub Repository· Language Technology Group (UiO)research
  2. 02Nasjonalbiblioteket AI-satsing· Nasjonalbiblioteketofficial
  3. 03GPT-SW3 Model Release Info· AI Swedenofficial
  4. 04Silo AI Viking Model Launch· Silo AIcompany
  5. 05Poro-34B Model Card (Hugging Face)· SiloGen / TurkuNLP / HPLTresearch

Frequently Asked Questions.

Why do Norway and the Nordic countries need their own language models?+
Global models such as ChatGPT are trained predominantly on English-language material and often lack deep understanding of Norwegian culture, legislation, social structures, and local nuances. Norwegian models trained on collections from the National Library of Norway (Nasjonalbiblioteket) and similar institutions help preserve Nordic languages in the AI era and enable organisations to run AI locally on their own infrastructure.
Are Norwegian and Nordic language models free to use?+
Most models released by the University of Oslo (UiO), the National Library of Norway, AI Sweden, and Silo AI are published under open licences such as Apache 2.0 or MIT and can be downloaded for free from Hugging Face. A small number of models are available only via a commercial API.
Can international researchers and media cite this dataset?+
Yes. The Norwegian and Nordic Language Models dataset is published by 24AI under Creative Commons Attribution (CC BY 4.0). You are free to share and adapt the data as long as proper attribution is given to 24AI / Aprex AS.
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