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| Checkpoint Name | Description |
|---|---|
evo-1.5-8k-base | A model pretrained with 8,192 context obtained by extending the pretraining of evo-1-8k-base to process 50% more training data. |
evo-1-8k-base | A model pretrained with 8,192 context. We use this model as the base model for molecular-scale finetuning tasks. |
evo-1-131k-base | A model pretrained with 131,072 context using evo-1-8k-base as the initialization. We use this model to reason about and generate sequences at the genome scale. |
evo-1-8k-crispr | A model fine-tuned on evo-1-8k-base specifically on CRISPR-Cas systems. We use this model to generate Cas9/12/13 systems. |
evo-1-8k-transposon | A model fine-tuned on evo-1-8k-base specifically on transposons. We use this to generate IS200/IS605. |
@article {merchant2024semantic,
author = {Merchant, Aditi T and King, Samuel H and Nguyen, Eric and Hie, Brian L},
title = {Semantic mining of functional de novo genes from a genomic language model},
year = {2024},
doi = {10.1101/2024.12.17.628962},
publisher = {Cold Spring Harbor Laboratory},
URL = {https://www.biorxiv.org/content/early/2024/12/18/2024.12.17.628962},
journal = {bioRxiv}
}@article{nguyen2024sequence,
author = {Eric Nguyen and Michael Poli and Matthew G. Durrant and Brian Kang and Dhruva Katrekar and David B. Li and Liam J. Bartie and Armin W. Thomas and Samuel H. King and Garyk Brixi and Jeremy Sullivan and Madelena Y. Ng and Ashley Lewis and Aaron Lou and Stefano Ermon and Stephen A. Baccus and Tina Hernandez-Boussard and Christopher Ré and Patrick D. Hsu and Brian L. Hie },
title = {Sequence modeling and design from molecular to genome scale with Evo},
journal = {Science},
volume = {386},
number = {6723},
pages = {eado9336},
year = {2024},
doi = {10.1126/science.ado9336},
URL = {https://www.science.org/doi/abs/10.1126/science.ado9336},
}