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VLMEvalKit
Python

VLMEvalKit

Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks

by open-compass · GitHub
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chatgptclaudeclipApache-2.0Python
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In plain words

Evaluate large models that understand both images and text using a variety of tests.

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4.4k4.3k
2026-07-072026-08-31
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📄 About

Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks

VLMEvalKit has 4.4k stars on GitHub. It has been forked 756 times. VLMEvalKit is written mainly in Python. It has been in active development since 2023. VLMEvalKit is available under the Apache-2.0 license. Its main topics are chatgpt, claude, clip, computer-vision.

Frequently asked questions

What is VLMEvalKit?

Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks

Is VLMEvalKit open source?

VLMEvalKit is an open-source project. It is released under the Apache-2.0 license.

Is VLMEvalKit free?

Yes. VLMEvalKit is free and open source — you can use, modify and self-host it.

What license does VLMEvalKit use?

VLMEvalKit is available under the Apache-2.0 license.

What language is VLMEvalKit written in?

VLMEvalKit is written mainly in Python.

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