This repo contains the code for "VLM2Vec / MMEB" [ICLR 2025], "VLM2Vec-V2 / MMEB-V2" [TMLR 2026], and "MMEB-V3" [COLM 2026]
Evaluate and compare different models that understand and retrieve information from text, images, and audio.
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Free · no card · unsubscribe anytimeThis repo contains the code for "VLM2Vec / MMEB" [ICLR 2025], "VLM2Vec-V2 / MMEB-V2" [TMLR 2026], and "MMEB-V3" [COLM 2026]
VLM2Vec has 666 stars on GitHub. It has been forked 62 times. VLM2Vec is written mainly in Python. It has been in active development since 2024. VLM2Vec is available under the Apache-2.0 license. Its main topics are benchmark, contrastive-learning, embedding, image-retrieval.
This repo contains the code for "VLM2Vec / MMEB" [ICLR 2025], "VLM2Vec-V2 / MMEB-V2" [TMLR 2026], and "MMEB-V3" [COLM 2026]
VLM2Vec is an open-source project. It is released under the Apache-2.0 license.
Yes. VLM2Vec is free and open source — you can use, modify and self-host it.
VLM2Vec is available under the Apache-2.0 license.
VLM2Vec is written mainly in Python.
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