TIGER-AI-Lab/VLM2Vec

This repo contains the code for "VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks" [ICLR 2025]

622 59 +0/wk

GitHub

benchmark contrastive-learning embedding image-retrieval mmeb multimodal rag representation-learning video-retrieval visual-document-retrieval vlm

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TIGER-AI-Lab/VLM2Vec has +0 stars this period . 7-day velocity: 0.5%.

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Metric	VLM2Vec	SmoothNLP	VisualThinker-R1-Zero	llama-cpp-agent
Stars	622	622	622	623
Forks	59	111	23	70
Weekly Growth	+0	+0	+0	-3
Language	Python	Java	Python	Python
Sources	1	1	1	1
License	Apache-2.0	GPL-3.0	N/A	NOASSERTION

VLM2Vec

SmoothNLP

Maintenance Activity 100

Last code push 1 days ago.

Community Engagement 47

Fork-to-star ratio: 9.5%. Lower fork ratio may indicate passive usage.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 95

Licensed under Apache-2.0. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.