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. Using Python and her expertise in benchmark management and model integration, Thea resolved integration entry issues that previously hindered reliable evaluation, thereby enabling new model comparisons within MTEB. Her work improved the benchmark’s coverage and supported more informed deployment decisions, reflecting a thorough and standards-driven approach to extending the benchmarking suite’s functionality.