You can build competitive frontier-level language models at 1B parameters using only openly licensed data, making it feasible for researchers and organizations to develop ethical AI without relying on scraped or restricted datasets.
Mimir v1 is a 1-billion-parameter language model trained entirely on permissible (legally and ethically sourced) data that achieves competitive performance with much larger models. It uses a Hierarchical Reasoning Model architecture and excels at English, math, code, and Danish tasks—showing that high-quality open-source models don't require massive proprietary datasets.