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VLM2Vec Full

huggingface.co·Infrastructure

VLM2Vec is a vision-language model trained to produce high-quality universal embeddings from both text and image inputs. The full model supports a wide range of multimodal retrieval and similarity applications.

Open SourceApache-2.0WebCLIAPI
VVLM2Vec Full preview
Visit huggingface.co↗
670stars
64forks
2features
2025since

Overview

2 features

VLM2Vec Full is a Foundation models & chat project. It focuses on creating unified embeddings from both text and images for retrieval and similarity tasks. VLM2Vec Full is an open-source project aimed at Multimodal AI developers. The project is open source (Apache-2.0). It ships for the web, the command line, and API.

It is developed by TIGER Lab, and it first shipped in 2025. The project is developed in the open on GitHub with 670 stars and 14 commits in the last 90 days.

Summary written by a language model from the project’s public pages.

  • ✓Multimodal embeddings
  • ✓Vision-language understanding
Tags
vlmmultimodal-embeddingvision-language
AI capabilities
Text
Inference: LocalWeights: Open

Built with & integrations

Hosting
AWS
AI providers
local_oss
Runs on
BrowserCLIAPI-only
Detected from
AWS
x-amz-cf-id header · x-amz-cf-pop header · via header
local_oss
bvllm in the HTML

Trust & compliance

License
Apache-2.0
Verified signals
✓HTTPS✓Privacy Policy✓Terms of Service✓Open Source✓GitHub · ★ 670✓Active maintenance
Legal
Privacy Policy →Terms of Service →

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed5 Aug · 08:05 UTC
    TIGER-Lab/VLM2Vec-Full verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about VLM2Vec Full

What does VLM2Vec Full do?
VLM2Vec Full focuses on creating unified embeddings from both text and images for retrieval and similarity tasks. It is catalogued under Foundation models & chat on PulseGate.
Who should use VLM2Vec Full?
VLM2Vec Full is an open-source project built for Multimodal AI developers.
Is VLM2Vec Full free?
Yes — VLM2Vec Full is open source under the Apache-2.0 license and free to use.
What platforms does VLM2Vec Full run on?
VLM2Vec Full runs on the web, the command line, and API.
Is VLM2Vec Full still active?
The GitHub repository shows 14 commits in the last 90 days.
What are alternatives to VLM2Vec Full?
Similar projects tracked by PulseGate include SmolVLM2 2.2B Instruct, InternVL2 5 4B, and InternVL2 8B.SmolVLM2 2.2B InstructInternVL2 5 4BInternVL2 8B
Who develops VLM2Vec Full?
VLM2Vec Full is developed by TIGER Lab.
How long has VLM2Vec Full been around?
VLM2Vec Full first shipped in 2025.

At a glance

Pricing
Open Source
Platforms
Cli · Web
Languages
English
Open source
Yes · ★ 670
License
Apache-2.0
Built for
Multimodal AI developers
Model
Open source
Solves
Creating unified embeddings from both text and images for retrieval and similarity tasks.

Registered as

GitHub
TIGER-AI-Lab/VLM2Vec
Hugging Face
TIGER-Lab/VLM2Vec-Full

Developer

TIGER Lab
Team
↗ GitHub

Open source

View on GitHub →
Stars
670
Forks
64
Open issues
29
Last commit
24 Jul 2026
Commits 90d
14
Contributors
10
Authorship
Team
Default branch
main
Latest release
v2.0.1 · 30 Jun 2025

Live coverage

Identity confidence
Medium · 70.4
Indexed
5 Aug 2026
Lifecycle
Alive
Last seen
5 Aug 2026
Identity audit (13)
Slug
tiger-lab-vlm2vec-full-huggingface-co
Lifecycle state recorded
5 Aug 2026
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
5 Aug 2026
Timeline basis
Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from
Derived from the project's own page and URL.
Category from
Derived from the model's own Hugging Face metadata.
Summary from
Written by a language model from public pages.
Languages from
Detected by a language model from page content.
Last updated
5 Aug 2026
Canonical URL
https://huggingface.co/TIGER-Lab/VLM2Vec-Full

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