One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks
Evaluate AI models across different types of content like text, images, and audio using a comprehensive toolkit.
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lmms-eval has 4.4k stars on GitHub. It has been forked 648 times. lmms-eval is written mainly in Python. It has been in active development since 2024. Its main topics are agi, audio-evaluation, benchmark, evaluation.
One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks
lmms-eval is an open-source project.
Yes. lmms-eval is free and open source — you can use, modify and self-host it.
lmms-eval is written mainly in Python.
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