evolvinglmms-lab/lmms-eval

LMMs-Eval is a multimodal model evaluation toolkit: users select a model backend and benchmark tasks, run inference over task examples, score the outputs, and inspect logged results. The central evaluation path is represented alongside model/task discovery, caching, and the documented HTTP, web UI, and MCP service interfaces. The README documents broad audio, video, and statistical-evaluation capabilities; the tree shows their likely implementation areas, but most of those sources were not sampled, so their internal wiring is not asserted here.