---
title: esm3-sm-open-v1
description: esm3-sm-open-v1 is trained on 2.78 billion natural proteins. With synthetic data augmentation, this led to 3.15 billion protein sequences, 236 million protein structures, and 539 million proteins with function annotations, totaling 771 billion tokens. esm3-sm-open-v1 is a generative model capable of designing proteins conditioned on partial prompts of sequence, structure and
tags:
- biology
- en
- esm
- protein
- sequence
source_url: https://huggingface.co/biohub/esm3-sm-open-v1
---

# esm3-sm-open-v1

> **Mirrored metadata.** This card is reproduced on Atlas for discovery. The artifact itself is not hosted here — follow the source link for the files, and refer to the upstream licence for terms of use.

esm3-sm-open-v1 is trained on 2.78 billion natural proteins. With synthetic data augmentation, this led to 3.15 billion protein sequences, 236 million protein structures, and 539 million proteins with function annotations, totaling 771 billion tokens. esm3-sm-open-v1 is a generative model capable of designing proteins conditioned on partial prompts of sequence, structure and

Upstream identifier: `biohub/esm3-sm-open-v1`.

**Source:** https://huggingface.co/biohub/esm3-sm-open-v1

_This model is part of the Atlas demo catalogue. See the repository history for provenance._