AI Model Evaluation Framework
4.1k 2026-05-01
EvolvingLMMs-Lab/lmms-eval
A unified, reproducible, and efficient multimodal evaluation toolkit for large language models across text, image, video, and audio tasks.
Core Features
Unified evaluation for text, image, video, and audio modalities.
Ensures reproducible and deterministic evaluation results.
Optimized for efficiency with async serving and adaptive batching.
Provides trustworthy results with statistical analysis and confidence intervals.
Supports over 100 tasks and 30+ large multimodal models.
Quick Start
pip install lmms-evalDetailed Introduction
The multimodal AI evaluation landscape is fragmented, leading to inconsistent and unreliable benchmark results. LMMs-Eval addresses this by providing a unified, reproducible, and efficient toolkit designed to accurately assess the capabilities of large multimodal models. By offering deterministic pipelines, performance optimizations, and robust statistical analysis, it aims to deliver trustworthy evaluation numbers that empower researchers and developers to focus on genuine model improvements and guide the future direction of AI development.