MedicineText

Meditron

Open medical models from Swiss EPFL, fine-tuned on clinical guidelines on top of various base models. Does not replace a doctor; decisions are made by a specialist.

Developer
EPFL, Switzerland
First release
Nov 2023
Latest release
May 2026
Sizes
2B – 70B
License
Commercial use with conditionsMixed: Llama-based versions under the Llama license; Qwen, OLMo, Apertus and EuroLLM versions under Apache 2.0; Phi-4 version under MIT; Gemma version under Gemma Terms
Russian
Not supported
Ready-made builds
GGUF
Running
Available in OllamaAlso runs without a GPU
Industries
Healthcare, Science and research, Education
Deploy on your server Hugging Face GitHub

What it does

  • Answering staff questions based on clinical guidelines
  • Draft discharge summaries for a doctor to review
  • Searching medical literature
  • Staff training

Where it is used

ClinicsTelemedicineMedical educationMedical 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. MeditronFO (Apertus, EuroLLM, OLMo 2, Gemma 3)
  2. Meditron3 на Qwen2.5, Gemma 2, Phi-4
  3. Meditron3 8B и 70B (Llama 3.1)
  4. Meditron 7B и 70B (Llama 2)

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 Meditron be used in a commercial project?

With conditions. License: Mixed: Llama-based versions under the Llama license; Qwen, OLMo, Apertus and EuroLLM versions under Apache 2.0; Phi-4 version under MIT; Gemma version under Gemma Terms. Restrictions vary — region, company revenue, attribution requirements. Have a lawyer check the terms before a commercial launch.

What hardware does Meditron 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 Meditron support Russian?

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

Where can I download Meditron and what does it cost?

The Meditron 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/api/models?author=EPFLiGHT&sort=createdAt&direction=-1. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.