Computer vision

DINOv2 / DINOv3

Foundation models that turn an image into a numeric "fingerprint". They are used to build similar-image search, classification and segmentation without large labeled datasets.

Developer
Meta, USA
First release
Apr 2023
Latest release
Aug 2025
Sizes
21M – 7B
License
Commercial use with conditionsDINOv2: Apache 2.0; DINOv3: own DINOv3 License, commercial use allowed, access on request
Running
On your own serverAlso runs without a GPU
Industries
Science and research, Manufacturing and logistics, Healthcare
Deploy on your server Hugging Face GitHub

What it does

  • Finding similar products and photos
  • Image classification on small datasets
  • Base for your own quality-control models

Where it is used

Retail and marketplacesManufacturingSatellite imagery and agriculture

Hardware requirements

LaptopLaptop or regular PC, up to 8 GB of VRAM — smaller versions
fits
1 GPUOne GPU with 16–80 GB — mid-size versions
fits
ClusterServer with several GPUs — flagship versions
no versions

Versions

  1. DINOv3
  2. DINOv2

How to run it

On your own serverWeights are downloaded from Hugging Face and served with vLLM (load and API) or llama.cpp (modest hardware). The model then runs in a closed network with no per-request fees.Hugging Face
How much hardware you needCalculate the VRAM for the model size, context length and number of concurrent requests.Open the hardware calculator

I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems.

Frequently asked questions

Can DINOv2 / DINOv3 be used in a commercial project?

With conditions. License: DINOv2: Apache 2.0; DINOv3: own DINOv3 License, commercial use allowed, access on request. Restrictions vary — region, company revenue, attribution requirements. Have a lawyer check the terms before a commercial launch.

What hardware does DINOv2 / DINOv3 need?

At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Some versions also run on an ordinary CPU, without a GPU. You can calculate the exact VRAM for your model size and context in the hardware calculator.

Does DINOv2 / DINOv3 support Russian?

Language does not matter for this model: it does not work with text.

Where can I download DINOv2 / DINOv3 and what does it cost?

The DINOv2 / DINOv3 weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.

How I deploy it for clients

  1. SelectionI pick the model size for your task and hardware and test it on your examples.
  2. DeploymentI deploy it on your server or in a closed network and provide an API.
  3. Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
  4. IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.

Similar models

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Models that map images and text into a shared space: you can search photos by words and classify images without training. OpenAI's CLIP (2021) is the predecessor.

DetailsComputer visionSegment Anything (SAM)Meta · USACommercial use with conditions

Selects any object in photos and videos with a click or a box. The basis for background removal and object counting.

Details

Source: huggingface.co/facebook/dinov3-vit7b16-pretrain-lvd1689m. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.