MedicineTextImage + text

MedGemma

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.

Developer
Google, USA
First release
May 2025
Latest release
Jan 2026
Sizes
4B – 27B
License
Commercial use with conditionsHealth AI Developer Foundations (Google's own terms, commercial use allowed with restrictions)
Russian
Not supported
Ready-made builds
GGUF, GPTQ, MLX (Apple)
Running
Available in OllamaAlso runs without a GPU
Industries
Healthcare, Science and research, Education
Deploy on your server Hugging Face GitHub

What it does

  • Draft discharge summaries and reports for a doctor to review
  • Hints for doctors when reviewing images
  • Searching and summarising medical literature
  • Training medical staff

Where it is used

ClinicsTelemedicinePharmaceuticalsMedical startups

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. MedGemma 1.5 4B
  2. MedGemma 27B (текст + снимки)
  3. MedGemma 4B и 27B (текст)

How to run it

With Ollama — the fastest wayInstall Ollama on your computer or server and find the model in its library by name. Good enough to try the model on your own tasks in one evening.Find it in the Ollama library
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. Quantization compresses a model so it takes less video memory and runs on more modest hardware. Answers change slightly, so quality is checked on your own examples.

Frequently asked questions

Can MedGemma be used in a commercial project?

With conditions. License: Health AI Developer Foundations (Google's own terms, commercial use allowed with restrictions). Restrictions vary — region, company revenue, attribution requirements. Have a lawyer check the terms before a commercial launch.

What hardware does MedGemma 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 MedGemma support Russian?

No. The model card lists its languages and Russian is not among them.

Where can I download MedGemma and what does it cost?

The MedGemma 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.

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Details

Source: huggingface.co/google/medgemma-1.5-4b-it. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.