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Evo 2 is a state of the art DNA language model for long context modeling and design. Evo 2 models DNA sequences at single-nucleotide resolution at up to 1 million base pair context length using the StripedHyena 2 architecture. Evo 2 was pretrained using Savanna. Evo 2 was trained autoregressively on OpenGenome2, a dataset containing 8.8 trillion tokens from all domains of life. We describe Evo ...

2025年2月21日 · 团队称， Evo 2 是 迄今为止最大的公开 AI 生物学模型， 完整版高达400亿参数，包含12.8万个物种的9.3万亿个核苷酸。 它囊括了生物学的基本语言：DNA、RNA 和蛋白质，能够一次分析长达一百万个核苷酸的序列长度。

With Evo 2, you can enter a sequence of up to 1 million nucleotides. The million-nucleotide window in biology is important, as it allows us to explore long-distance interactions between two or more genes that may not be physically close to one another on the DNA molecule.

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2025年2月23日 · Evo 2 是由 Acr 研究所、英伟达和斯坦福大学合作开发的一款先进 DNA 语言模型。 该模型基于 StripedHyena 2 架构，能够以单核苷酸分辨率处理长达 100 万个碱基对的基因组序列。

2025年2月19日 · Arc Institute researchers have developed a machine learning model called Evo 2 that is trained on the DNA of over 100,000 species across the entire tree of life. Its deep understanding of biological code means that Evo 2 can identify patterns in gene sequences across disparate organisms that experimental researchers would need years to uncover.

NVIDIA BioNeMo平台发布Evo 2，这是全球最大的公共基因组数据AI模型，拥有近9万亿个核苷酸的训练数据集，可用于预测蛋白质结构和功能、识别新型分子以及评估基因突变的影响等生物分子研究应用。

2025年2月21日 · We introduce Evo 2, a biological foundation model trained on 9.3 trillion DNA base pairs from a highly curated genomic atlas spanning all domains of life. We train Evo 2 with 7B and 40B parameters to have an unprecedented 1 million token context window with single-nucleotide resolution.