Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks
Evaluate large models that understand both images and text using a variety of tests.
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Free · no card · unsubscribe anytimeOpen-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.
Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks
VLMEvalKit is an open-source project. It is released under the Apache-2.0 license.
Yes. VLMEvalKit is free and open source — you can use, modify and self-host it.
VLMEvalKit is available under the Apache-2.0 license.
VLMEvalKit is written mainly in Python.
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