Developed and integrated JinaV4 model support into the embeddings-benchmark/mteb repository, focusing on expanding the library’s capabilities for programming-related evaluation tasks. The work involved implementing model meta information and a dedicated wrapper class in Python, updating dependencies to ensure compatibility, and configuring the system for seamless model integration. By enhancing the MTEB library’s model management and evaluation framework, this contribution enables broader benchmarking coverage for code-oriented tasks. The approach emphasized maintainable library management and provided a replicable pattern for future model adapters, supporting increased test coverage and smoother adoption of new models within the Python-based evaluation infrastructure.