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LLaVA

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

View on GitHub Official site
Vision Multimodal Apache-2.0 Medium setup 24,936 stars

Overview

Description

LLaVA gives your business GPT-4 level vision AI — build assistants that can see, understand images, and answer questions about visual content. Fine-tune on your own data and deploy through a chat interface or API. Add vision capabilities to your products without building a model from scratch.

Technical scorecard

License

Apache-2.0

Commercial use

Yes

OpenAI-compatible API

No

REST API

No

Fine-tuning support

Yes

Quantization support

Yes

Docker available

Yes

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/haotian-liu/LLaVA

Hardware Requirements

Hardware tagsGPU (NVIDIA), GPU (Apple Silicon), CPU
LanguagesPython

Works Well With