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Phi-3-Vision-128K-Instruct

text-generation

View on GitHub Official site
Vision Multimodal MIT Medium setup 247,300 stars

Overview

Description

Phi-3-Vision-128K-Instruct is a lightweight AI model that can analyze images and text together, making it ideal for cost-sensitive computer vision and document processing tasks. It understands charts, tables, handwriting, and general imagery with a large 128K token context window while running on modest hardware. The bottom line: you get multimodal AI capabilities without the infrastructure bill.

Technical scorecard

License

MIT

Commercial use

Yes

OpenAI-compatible API

No

REST API

No

Fine-tuning support

Yes

Quantization support

No

Docker available

No

GUI / no-code available

No

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://huggingface.co/microsoft/Phi-3-vision-128k-instruct

Hardware Requirements

Hardware tagsGPU (NVIDIA)
Languagesmultilingual

Works Well With