MahmoodLab CONCH / TITAN
Image-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.
- Developer
- Mahmood Lab (Mass General Brigham, Harvard), USA
- First release
- Jan 2024
- Latest release
- Dec 2024
- Sizes
- about 160M – 300M
- License
- Non-commercial onlyCC-BY-NC-ND 4.0, academic research only
- Russian
- Not supported
- Running
- On your own serverNeeds a GPU
- Industries
- Healthcare, Science and research
What it does
- Text-query search across a slide archive for research
- Draft slide descriptions for research projects
- Tissue classification without labels at the start of a study
Where it is used
Hardware requirements
Versions
- TITAN
- CONCH v1.5
- CONCH
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 MahmoodLab CONCH / TITAN be used in a commercial project?
No. License: CC-BY-NC-ND 4.0, academic research only. A commercial product needs a different model or a separate agreement with the rights holder.
What hardware does MahmoodLab CONCH / TITAN 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 MahmoodLab CONCH / TITAN support Russian?
No. The model card lists its languages and Russian is not among them.
Where can I download MahmoodLab CONCH / TITAN and what does it cost?
The MahmoodLab CONCH / TITAN 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.
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DetailsMedicineMedSigLIPGoogle · USACommercial use with conditionsGoogle's lightweight encoder for medical images and text, the same one inside MedGemma. Sorts images and finds similar ones. Does not replace a doctor; decisions are made by a specialist.
DetailsSource: huggingface.co/api/models?author=MahmoodLab. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


