# TIGER-AI-Lab/VLM2Vec

<https://repo.masters-masters.com/en/repos/TIGER-AI-Lab/VLM2Vec>

[Home](https://repo.masters-masters.com/en) › [TIGER-AI-Lab](https://repo.masters-masters.com/en/owners/TIGER-AI-Lab) › [VLM2Vec](https://repo.masters-masters.com/en/repos/TIGER-AI-Lab/VLM2Vec)

TIGER-AI-Lab/VLM2Vec has 702 stars on GitHub. Its RepoMasters card: Beta tier. This repo contains the code for "VLM2Vec / MMEB" \[ICLR 2025\], "VLM2Vec-V2 /…

| Field | Value |
| --- | --- |
| Owner | [TIGER-AI-Lab](https://repo.masters-masters.com/en/owners/TIGER-AI-Lab) |
| Stars | 702 |
| Forks | 65 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2024 |
| Topics | rag, vlm, benchmark, contrastive-learning, embedding, image-retrieval, multimodal, representation-learning, video-retrieval, mmeb |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [TIGER-AI-Lab/VLM2Vec](https://github.com/TIGER-AI-Lab/VLM2Vec) |

## Repository

This repo contains the code for "VLM2Vec / MMEB" \[ICLR 2025\], "VLM2Vec-V2 / MMEB-V2" \[TMLR 2026\], and "MMEB-V3" \[COLM 2026\]

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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Data: GitHub · Illustration: the project’s public image, pixelated by RepoMasters.
