Bioptimus H-optimus
Pathology 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.
- Developer
- Bioptimus, France
- First release
- Jul 2024
- Latest release
- Feb 2025
- Sizes
- 86M (H0-mini) – 1,1B
- License
- Commercial use with conditionsMixed: H-optimus-0 — Apache 2.0, H-optimus-1 and H0-mini — CC-BY-NC-ND 4.0 (commercial use under a separate license)
- Running
- On your own serverNeeds a GPU
- Industries
- Healthcare, Science and research
What it does
- Histology slide patch features for research models
- A prototype for sorting slides by tissue type
- Research projects linking morphology and molecular data
Where it is used
Hardware requirements
Versions
- H0-mini
- H-optimus-1
- H-optimus-0
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 Bioptimus H-optimus be used in a commercial project?
With conditions. License: Mixed: H-optimus-0 — Apache 2.0, H-optimus-1 and H0-mini — CC-BY-NC-ND 4.0 (commercial use under a separate license). Restrictions vary — region, company revenue, attribution requirements. Have a lawyer check the terms before a commercial launch.
What hardware does Bioptimus H-optimus 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 Bioptimus H-optimus support Russian?
Language does not matter for this model: it does not work with text.
Where can I download Bioptimus H-optimus and what does it cost?
The Bioptimus H-optimus 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
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.
DetailsMedicineMahmoodLab UNI / UNI 2Mahmood Lab (Mass General Brigham, Harvard) · USANon-commercial onlyA 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.
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=bioptimus. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


