Arc Institute Evo / Evo 2
DNA language models with context up to a million nucleotides: they assess the impact of mutations, annotate genomes and generate sequences. Evo 2 is trained on genomes from all domains of life.
- Developer
- Arc Institute (with Together AI, Stanford, NVIDIA), USA
- First release
- Feb 2024
- Latest release
- Feb 2026
- Sizes
- 1B – 40B
- License
- Commercial use allowedApache 2.0
- Running
- On your own serverNeeds a GPU
- Industries
- Healthcare, Science and research
What it does
- Assessing the likely harmfulness of genetic variants for research
- Annotating genomes of microorganisms and plants
- Finding promising sequences in breeding and synthetic biology
Where it is used
Hardware requirements
Versions
- Evo 2 20B
- Evo 2 7B 262k
- Evo 2 1B, 7B, 40B
- Evo 1 (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.
Frequently asked questions
Can Arc Institute Evo / Evo 2 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 Arc Institute Evo / Evo 2 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 Arc Institute Evo / Evo 2 support Russian?
Language does not matter for this model: it does not work with text.
Where can I download Arc Institute Evo / Evo 2 and what does it cost?
The Arc Institute Evo / Evo 2 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
Protein language models: they understand amino acid sequences, predict structure (ESMFold2) and help with protein design. Since 2026 all open versions are under MIT.
DetailsBiology and chemistryBoltz (Boltz-1, Boltz-2, BoltzGen)MIT (Jameel Clinic) and Recursion · USACommercial use allowedAn open MIT-licensed alternative to AlphaFold 3: predicts structures of protein, DNA and small-molecule complexes; Boltz-2 estimates binding strength, BoltzGen designs new binding proteins.
DetailsSource: huggingface.co/api/models?author=arcinstitute. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


