MedSigLIP
Google'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.
- Developer
- Google, USA
- First release
- Jul 2025
- Latest release
- Jul 2025
- Sizes
- about 0.9B
- License
- Commercial use with conditionsHealth AI Developer Foundations (Google's own terms)
- Running
- On your own serverAlso runs without a GPU
- Industries
- Healthcare, Science and research
What it does
- Finding similar images in a clinic's archive
- Pre-sorting images for a doctor
- A base for your own image classifiers
- Case collections for staff training
Where it is used
Hardware requirements
Versions
- MedSigLIP-448
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 MedSigLIP be used in a commercial project?
With conditions. License: Health AI Developer Foundations (Google's own terms). Restrictions vary — region, company revenue, attribution requirements. Have a lawyer check the terms before a commercial launch.
What hardware does MedSigLIP 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 MedSigLIP support Russian?
Language does not matter for this model: it does not work with text.
Where can I download MedSigLIP and what does it cost?
The MedSigLIP 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
Google's medical version of Gemma: reads medical texts and images (X-ray, dermatology, histology). A tool for doctors and developers; does not replace a doctor, decisions are made by a specialist.
DetailsComputer visionSigLIP (наследник CLIP)Google · USACommercial use allowedModels 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.
DetailsSource: huggingface.co/google/medsiglip-448. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


