MedicineImage + text

RadFM

An early general-purpose radiology model: understands 2D and 3D images (CT, MRI) together with text. More of a research base. Does not replace a doctor; decisions are made by a specialist.

The last open version came out in Aug 2023. The family has not been updated for a long time: the model still works, but do not expect fixes or new sizes.

Developer
Shanghai Jiao Tong University and Shanghai AI Lab, China
First release
Aug 2023
Latest release
Aug 2023
Sizes
size not stated on the model card
License
Commercial use with conditionsMIT (code on GitHub; no license stated for the weights on Hugging Face)
Russian
Not stated
Running
On your own serverNeeds a GPU
Industries
Healthcare, Science and research
Deploy on your server Hugging Face GitHub

What it does

  • Research pilots on CT and MRI analysis
  • Hints for doctors when reviewing images
  • A base for fine-tuning on the clinic's own images

Where it is used

Medical research centresDiagnostic centresMedical startups

Hardware requirements

LaptopLaptop or regular PC, up to 8 GB of VRAM — smaller versions
no versions
1 GPUOne GPU with 16–80 GB — mid-size versions
fits
ClusterServer with several GPUs — flagship versions
no versions

Versions

  1. RadFM

How to run it

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.

Frequently asked questions

Can RadFM be used in a commercial project?

With conditions. License: MIT (code on GitHub; no license stated for the weights on Hugging Face). Restrictions vary — region, company revenue, attribution requirements. Have a lawyer check the terms before a commercial launch.

What hardware does RadFM need?

At minimum: One GPU with 16–80 GB — mid-size 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 RadFM support Russian?

The model card does not list languages, so Russian support cannot be promised — it has to be tested on your own examples.

Where can I download RadFM and what does it cost?

The RadFM 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: github.com/chaoyi-wu/RadFM. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.