You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: README.md
+17Lines changed: 17 additions & 0 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -8,9 +8,12 @@ Evo has 7 billion parameters and is trained on [OpenGenome](https://huggingface.
8
8
9
9
We describe Evo in the paper [“Sequence modeling and design from molecular to genome scale with Evo”](https://www.science.org/doi/10.1126/science.ado9336).
10
10
11
+
We describe Evo 1.5 in the paper [“Semantic mining of functional _de novo_ genes from a genomic language model”](https://www.biorxiv.org/content/10.1101/2024.12.17.628962). We used the Evo 1.5 model to generate [SynGenome](https://evodesign.org/syngenome/), the first AI-generated genomics database containing over 100 billion base pairs of synthetic DNA sequences.
|`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. |
14
17
|`evo-1-8k-base`| A model pretrained with 8,192 context. We use this model as the base model for molecular-scale finetuning tasks. |
15
18
|`evo-1-131k-base`| A model pretrained with 131,072 context using `evo-1-8k-base` as the base model. We use this model to reason about and generate sequences at the genome scale. |
16
19
|`evo-1-8k-crispr`| A model finetuned using `evo-1-8k-base` as the base model to generate CRISPR-Cas systems. |
@@ -194,3 +197,17 @@ Please cite the following publication when referencing Evo.
0 commit comments