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Evo 1 131k Base

Developed by togethercomputer
Evo is a biological foundation model capable of long-context modeling and design, employing a striped hyena architecture that models sequences at single-nucleotide byte-level resolution.
Downloads 22.70k
Release Time : 2/20/2024

Model Overview

Evo is a biological foundation model focused on long-context modeling and design, capable of modeling sequences at single-nucleotide byte-level resolution. The model adopts a striped hyena architecture, with computation and memory consumption scaling nearly linearly with context length.

Model Features

Long-context modeling
Trained with a context length of 131k and tested for generating sequences exceeding 650k in length.
Efficient autoregressive generation
Achieved through a recurrent pattern, enabling generation of over 500k sequences on a single 80GB GPU.
Hybrid architecture advantages
The striped hyena architecture, composed of multi-head attention and gated convolutions, outperforms pure decoder Transformers.
Computational efficiency
Significant acceleration in long-context training/fine-tuning, with speed improvements exceeding 3x at 131k length.

Model Capabilities

Genome sequence generation
Molecular-scale fine-tuning
Long-context modeling
Biological sequence design

Use Cases

Genomics
CRISPR-Cas system generation
A CRISPR-Cas system generation model fine-tuned based on evo-1-8k-base.
Transposon generation
An IS200/IS605 transposon generation model fine-tuned based on evo-1-8k-base.
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