NbAiLab/borealis-12b

VISIONPricing:Input $0.2 / Output $0.6Concurrent Unit Cost:1Model Size:12BQuant:FP8Context Size:32kPublished:May 20, 2026License:otherArchitecture:Transformer Featherless Exclusive Cold

NbAiLab/borealis-12b is a 12-billion parameter instruction-tuned model from the National Library of Norway, based on the Gemma 3 family. This full release model incorporates a limited subset of copyright-protected Norwegian press material, specifically for generating news article titles and ingress texts. It is fine-tuned for Norwegian-centric instruction following, assistant-style tasks, writing, summarization, and question answering, offering specialized performance for Norwegian language applications.

Loading preview...

Borealis 12B: Norwegian-Centric Instruction-Tuned Model

NbAiLab/borealis-12b is a 12-billion parameter instruction-tuned model developed by the National Library of Norway (NbAiLab). It is part of the Borealis family, built upon the Gemma 3 architecture (specifically, fine-tuned from google/gemma-3-12b-it). This model is a "full release" version, meaning it incorporates a limited subset of data from an agreement with Norwegian rights-holder organizations, primarily to enhance its ability to generate news article titles and ingress texts.

Key Capabilities

  • Norwegian-centric Instruction Following: Optimized for tasks requiring understanding and generation in Norwegian.
  • Assistant-Style Tasks: Proficient in drafting, summarization, and question answering.
  • Specialized Content Generation: Incorporates unique training data for generating news article titles and ingress texts.
  • Safety Alignment: Utilizes "prompt baking" to distill desired behaviors directly into model weights, balancing quality and safety.

Good For

  • Norwegian Language Applications: Ideal for developers building applications focused on the Norwegian language, including Bokmål and Nynorsk.
  • Content Creation: Useful for generating various forms of Norwegian text, particularly news-related content.
  • Research and Evaluation: Suitable for assessing and improving Norwegian writing style and language coverage.
  • Fine-tuning and Customization: Provides a strong base for further fine-tuning on specific Norwegian datasets or tasks.