ESM (ESM-2, ESM3, ESM C, ESMFold2)
Protein language models: they understand amino acid sequences, predict structure (ESMFold2) and help with protein design. Since 2026 all open versions are under MIT.
- Developer
- EvolutionaryScale / Chan Zuckerberg Biohub (ESM-2 — Meta AI), USA
- First release
- Sep 2022
- Latest release
- May 2026
- Sizes
- 8M – 15B (ESM-2), 300M – 6B (ESM C), 1.4B (open ESM3)
- License
- Commercial use allowedMIT (all published weights, including ESM3 open and ESM C; the large ESM3 98B is cloud-only)
- Running
- On your own serverAlso runs without a GPU
- Industries
- Healthcare, Science and research
What it does
- Protein embeddings for predicting properties (stability, solubility)
- Predicting 3D structures of proteins and complexes
- Screening enzyme and antibody design candidates before lab work
Where it is used
Hardware requirements
Versions
- ESMFold2
- ESM C 6B
- ESM C 300M и 600M
- ESM3 open 1.4B
- ESMFold (Meta)
- ESM-2 (Meta)
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 ESM (ESM-2, ESM3, ESM C, ESMFold2) be used in a commercial project?
Yes. License: MIT (all published weights, including ESM3 open and ESM C; the large ESM3 98B is cloud-only). It allows commercial use, but it is still worth having a lawyer review the license before launch.
What hardware does ESM (ESM-2, ESM3, ESM C, ESMFold2) 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 ESM (ESM-2, ESM3, ESM C, ESMFold2) support Russian?
Language does not matter for this model: it does not work with text.
Where can I download ESM (ESM-2, ESM3, ESM C, ESMFold2) and what does it cost?
The ESM (ESM-2, ESM3, ESM C, ESMFold2) 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
An 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.
DetailsBiology and chemistryOpenFold / OpenFold3AlQuraishi Lab (Columbia University) and the OpenFold consortium · USACommercial use allowedA fully open reproduction of AlphaFold 2 and then AlphaFold 3 under Apache 2.0, with training data. OpenFold3 predicts complexes of proteins, nucleic acids and ligands.
DetailsBiology and chemistryArc Institute Evo / Evo 2Arc Institute (with Together AI, Stanford, NVIDIA) · USACommercial use allowedDNA 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.
DetailsSource: github.com/Biohub/esm#licenses. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


