Thea Tollersrud integrated the NbAiLab nb-sbert-base model into the embeddings-benchmark/mteb repository, expanding the benchmark’s multilingual evaluation capabilities. She managed the full model registration process, including detailed metadata such as supported languages, release date, and parameter counts, to ensure reproducible and transparent benchmarking. Working primarily in Python, Thea addressed integration entry issues to guarantee reliable model evaluation within the MTEB framework. Her work focused on benchmark management and model integration, enabling broader model comparisons for deployment decisions. Thea’s contributions improved the depth and quality of the benchmark suite, supporting more comprehensive and standardized model assessments for the community.