Arc Institute
foundation · United StatesScores
1 product on the map — 1 open.
Openness
5 high confidence- weights
- open(Apache-2.0 ungated checkpoint)
- data
- open(OpenGenome2 raw FASTA and augmented JSONL released)
- code
- open(Savanna training framework and Evo 2 training guidance released)
- license
- Apache-2.0(OSI)
Evo 2 releases all three parts of the from-scratch stack: permissive weights, the OpenGenome2 training corpus, and the named open training framework.
- https://huggingface.co/api/models/arcinstitute/evo2_7b recorded 2026-09-10
license: apache-2.0; gated: false; private: false; evo2_7b.pt present.
- https://raw.githubusercontent.com/ArcInstitute/evo2/main/README.md recorded 2026-09-10
Links downloadable checkpoints, the OpenGenome2 raw and processed training data, and the open Savanna framework under its Training and Finetuning section.
Adoption
1 high confidenceDownloads of the declared 7B checkpoint on Hugging Face are the adoption signal here, one size among Evo 2's several published checkpoints.
- https://huggingface.co/api/models/arcinstitute/evo2_7b recorded 2026-09-10
downloads: 1350; gated: false; private: false.
Capability
3 high confidenceEvo 2 documents two readable capabilities: an explicit training and fine-tuning pathway, and genuine DNA sequence generation rather than only prediction. Its context window scales from 8K to one million bases, but that is a longer window at the same single-nucleotide granularity throughout, not a second scale, and the range of model sizes offered does not count as an added capability either.
- https://raw.githubusercontent.com/ArcInstitute/evo2/main/README.md recorded 2026-09-10
Documents training and fine-tuning, prompted DNA generation, and checkpoints spanning 8K, 262K, and one-million-base contexts.