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InternVL

[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型

View on GitHub Official site
Vision Multimodal MIT Medium setup 10,098 stars

Overview

Description

InternVL delivers commercial-grade multimodal AI as a free, open-source model family — matching GPT-4o and GPT-5 on vision, document, and reasoning benchmarks without vendor lock-in. You get image understanding, OCR, chart analysis, video comprehension, and multilingual support that you can run, fine-tune, and deploy on your own infrastructure. No per-token fees, no data sharing required.

Technical scorecard

License

MIT

Commercial use

Yes

OpenAI-compatible API

No

REST API

Yes

Fine-tuning support

Yes

Quantization support

Yes

Docker available

No

GUI / no-code available

Yes

Telemetry

Unknown

Offline after setup

Yes

Data & Privacy

Does it send data online?

After setup, this listing is marked as usable offline. Confirm network behavior against the upstream project before regulated deployment.

Does it store history?

Not verified in this directory yet. Review the upstream docs for persistence, logs, and workspace storage.

License checks?

Commercial use is marked as allowed or likely allowed by the listed license.

Telemetry?

Unknown

Last verified: Jul 22, 2026. Maintainer verification should be treated as directory guidance, not legal advice.

🛡️

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Setup & Installation

Medium

A developer can usually get this running with standard docs.

# Start with the official project repository
# https://github.com/OpenGVLab/InternVL

Hardware Requirements

Hardware tagsGPU (NVIDIA)
LanguagesPython, Jupyter Notebook

Works Well With