Paige Virchow
Paige's pathology foundation model, trained on millions of digital slides. The first version is Apache 2.0, the second is for research only. Does not replace a doctor; decisions are made by a specialist.
The last open version came out in Aug 2024. The family has not been updated for a long time: the model still works, but do not expect fixes or new sizes.
- Developer
- Paige, USA
- First release
- Jun 2024
- Latest release
- Aug 2024
- Sizes
- about 632M
- License
- Commercial use with conditionsMixed: Virchow — Apache 2.0, Virchow2 — CC-BY-NC-ND 4.0 (academic research only, commercial requests are declined by default)
- Running
- On your own serverNeeds a GPU
- Industries
- Healthcare, Science and research
What it does
- Slide patch features for research classifiers
- Selecting slides for re-review in research projects
- Comparison with other pathology models on your own archive
Where it is used
Hardware requirements
Versions
- Virchow2
- Virchow
How to run it
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 Paige Virchow be used in a commercial project?
With conditions. License: Mixed: Virchow — Apache 2.0, Virchow2 — CC-BY-NC-ND 4.0 (academic research only, commercial requests are declined by default). Restrictions vary — region, company revenue, attribution requirements. Have a lawyer check the terms before a commercial launch.
What hardware does Paige Virchow need?
At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Without a GPU the model is not practical. You can calculate the exact VRAM for your model size and context in the hardware calculator.
Does Paige Virchow support Russian?
Language does not matter for this model: it does not work with text.
Where can I download Paige Virchow and what does it cost?
The Paige Virchow 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
- SelectionI pick the model size for your task and hardware and test it on your examples.
- DeploymentI deploy it on your server or in a closed network and provide an API.
- Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
- IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.
Similar models
A foundation model for histology slides: turns patches of digital slides into features for tissue classification. Does not replace a doctor; decisions are made by a specialist.
DetailsMedicineBioptimus H-optimusBioptimus · FranceCommercial use with conditionsPathology foundation models from France's Bioptimus with 1.1B parameters, plus the compact H0-mini. The first version is open under Apache 2.0. Does not replace a doctor; decisions are made by a specialist.
DetailsMedicineMahmoodLab CONCH / TITANMahmood Lab (Mass General Brigham, Harvard) · USANon-commercial onlyImage-plus-text models for pathology: search slides by an English description, classify without fine-tuning; TITAN describes a whole slide. Does not replace a doctor; decisions are made by a specialist.
DetailsSource: huggingface.co/api/models?author=paige-ai. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


