Who should use Qwen2-VL-2B?

Qwen2-VL-2B is a consumer product built for developers and researchers.

Does Qwen2-VL-2B have a free plan?

Yes — Qwen2-VL-2B is free to use.

What platforms does Qwen2-VL-2B run on?

Qwen2-VL-2B runs on the web. It can also be self-hosted.

Is Qwen2-VL-2B still maintained?

Unverified. Qwen2-VL-2B has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.

What projects are similar to Qwen2-VL-2B?

Similar projects tracked by PulseGate include Qwen VL, Qwen3-VL-Outpost, and Qwen2.5 VL 32B Instruct Demo.

Who develops Qwen2-VL-2B?

Qwen2-VL-2B is developed by MaziyarPanahi.

How long has Qwen2-VL-2B been around?

Qwen2-VL-2B first shipped in 2024.

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Qwen2-VL-2B

Name: Qwen2-VL-2B
Author: MaziyarPanahi

huggingface.coAI & ML

This demo runs the Qwen2-VL-2B vision-language model. Users can upload images or short videos and ask questions about their content. The model processes both visual and textual input to provide accurate, context-aware answers.

FreeWebSelf-hosted

Visit huggingface.co

Overview

3 features

Qwen2-VL-2B is an AI & ML project. It focuses on extracting information and answering natural language questions about visual media. Qwen2-VL-2B is a consumer product aimed at developers and researchers. Qwen2-VL-2B costs nothing to use. It runs on the web, and it can be self-hosted.

Behind Qwen2-VL-2B is MaziyarPanahi, and it first shipped in 2024. Among its 3 catalogued features are Visual Question Answering, Image Understanding, and Video Analysis.

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

Visual Question Answering
Image Understanding
Video Analysis

Built with & integrations

Hosting

AWS

AI providers

local_oss

Runs on

BrowserSelf-hosted

Detected from

AWS: x-amz-cf-id header · x-amz-cf-pop header · via header
local_oss: huggingface in the HTML

Trust & compliance

Verified signals

HTTPSFree tier

Indexing history

What PulseGate has recorded for this listing

Indexed4 Aug · 20:18 UTC
MaziyarPanahi/Qwen2-VL-2B verified against its public source
Source: PulseGate · Open

Frequently asked questions about Qwen2-VL-2B

What is Qwen2-VL-2B?: Qwen2-VL-2B focuses on extracting information and answering natural language questions about visual media. It is catalogued under AI & ML on PulseGate.
Who should use Qwen2-VL-2B?: Qwen2-VL-2B is a consumer product built for developers and researchers.
Does Qwen2-VL-2B have a free plan?: Yes — Qwen2-VL-2B is free to use.
What platforms does Qwen2-VL-2B run on?: Qwen2-VL-2B runs on the web. It can also be self-hosted.
Is Qwen2-VL-2B still maintained?: Unverified. Qwen2-VL-2B has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What projects are similar to Qwen2-VL-2B?: Similar projects tracked by PulseGate include Qwen VL, Qwen3-VL-Outpost, and Qwen2.5 VL 32B Instruct Demo.Qwen VL Qwen3-VL-Outpost Qwen2.5 VL 32B Instruct Demo
Who develops Qwen2-VL-2B?: Qwen2-VL-2B is developed by MaziyarPanahi.
How long has Qwen2-VL-2B been around?: Qwen2-VL-2B first shipped in 2024.

At a glance

Platforms: Web
Languages: English
Built for: developers and researchers
Model: B2C
Solves: Extracting information and answering natural language questions about visual media.

Registered as

Hugging Face Spaces: MaziyarPanahi/Qwen2-VL-2B

Developer

MaziyarPanahi

Live coverage

Identity confidence: High · 90.8
Indexed: 4 Aug 2026
Lifecycle: Alive
Last seen: 4 Aug 2026

Identity audit (13)

Slug: maziyarpanahi-qwen2-vl-2b-huggingface-co
Lifecycle state recorded: 4 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 4 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: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Last updated: 4 Aug 2026
Canonical URL: https://huggingface.co/spaces/MaziyarPanahi/Qwen2-VL-2B

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