BioMistral
Mistral 7B fine-tuned on PubMed Central papers, plus several merges with the general model. Compact and easy to run. Does not replace a doctor; decisions are made by a specialist.
The last open version came out in Apr 2024. The family has not been updated for a long time: the model still works, but do not expect fixes or new sizes.
- Developer
- Avignon University and Nantes University, France
- First release
- Feb 2024
- Latest release
- Apr 2024
- Sizes
- 7B
- License
- Commercial use allowedApache 2.0
- Russian
- Not supported
- Ready-made builds
- GGUF
- Running
- On your own serverNeeds a GPU
- Industries
- Healthcare, Science and research
What it does
- Searching and summarising medical papers
- Draft reference materials for staff
- Explaining medical terminology
- A base for your own fine-tuning
Where it is used
Hardware requirements
Versions
- BioMistral-MedMNX
- Слияния DARE, TIES, SLERP
- BioMistral-7B
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. 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 BioMistral be used in a commercial project?
Yes. License: Apache 2.0. It allows commercial use, but it is still worth having a lawyer review the license before launch.
What hardware does BioMistral 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 BioMistral support Russian?
No. The model card lists its languages and Russian is not among them.
Where can I download BioMistral and what does it cost?
The BioMistral 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.
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DetailsSource: huggingface.co/api/models?author=BioMistral&sort=createdAt&direction=-. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


