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QwenLM/Qwen3-VL

Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

Jupyter Notebook ◇ developer-tools Apache-2.0
★20KSTARS
⑂1.9KFORKS
!427ISSUES
🏆#431GLOBAL RANK
🔥6DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for QwenLM/Qwen3-VL
CSV

Momentum

+500

STARS · LAST 30 DAYS

17

PER DAY

#4

MOST-STARRED Jupyter Notebook

Window7 days30 days90 days
Stars gained+119+500+1.5K
Per day171717
Forks gained+9+37+93

Qwen3-VL gained 500 stars in the last 30 days, about 17 a day, and now has 20K. It is about 2 years old and has averaged roughly 10K stars a year. It ranks #4 among Jupyter Notebook repositories and #431 across all languages on GitHubRepo.

Trending Record

Qwen3-VL has maintained a continuous presence across global trending indexes, peaking at #242. Below is the 30-day activity profile:

💡 Overview

Qwen3-VL is an open-source project written in Jupyter Notebook: Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

Engineered for speed, consistency, and developer ease, it solves common hurdles in Jupyter Notebook. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Jupyter Notebook for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ git clone https://github.com/QwenLM/Qwen3-VL.git
cd Qwen3-VL

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Jupyter Notebook environment and standard tooling

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

Qwen3-VL coordinates its core functionality through a modular Jupyter Notebook pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Production System Integration

Embed Qwen3-VL into Jupyter Notebook backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open Apache-2.0 license.

🚀 Getting Started

1

Install Qwen3-VL using your package manager: `git clone https://github.com/QwenLM/Qwen3-VL.git`

2

Initialize your project workspace or configuration file for Qwen3-VL.

3

Import Qwen3-VL into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `Qwen3-VL --help` to verify successful setup.

👍 Strengths

Active community backing with 19,991 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Jupyter Notebook for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Jupyter Notebook and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 Who Should Use This

Developers and engineering teams building with Jupyter Notebook, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

QwenLM/Qwen3-VL is currently ranked #431 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#426 go-playground/validator Go ★ 20.2K Compare ↗
#427 1jehuang/jcode Rust ★ 20.1K Compare ↗
#428 preservim/nerdtree Vim Script ★ 20.1K Compare ↗
#429 sebastianbergmann/phpunit PHP ★ 20.1K Compare ↗
#430 ImranR98/Obtainium Dart ★ 20K Compare ↗
#431 QwenLM/Qwen3-VL This Project Jupyter Notebook ★ 20K
#432 grpc-ecosystem/grpc-gateway Go ★ 20K Compare ↗
#433 0x192/universal-android-debloater Rust ★ 20K Compare ↗
#434 Alibaba-NLP/DeepResearch Python ★ 20K Compare ↗
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Frequently Asked Questions

What does Qwen3-VL do? +

Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

What language is Qwen3-VL written in? +

The primary language is Jupyter Notebook. Topics include: software.

Is Qwen3-VL actively maintained? +

Yes, the last recorded push was on Jan 30, 2026 with 427 open issues being tracked.

How many stars does Qwen3-VL have? +

Qwen3-VL has 20,006 stars and 1,856 forks on GitHub.

How does Qwen3-VL rank among GitHub repositories? +

With 20,006 stars, QwenLM/Qwen3-VL is ranked #431 globally across all repositories tracked on GitHubRepo and #4 among Jupyter Notebook projects.

What license is Qwen3-VL distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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