Evo 2
Genome-scale DNA/RNA/protein foundation model, Apache-2.0 including weights.
Developer: Arc Institute, with NVIDIA and Stanford
Overview
- Developer
- Arc Institute, with NVIDIA and Stanford
- Category
- Protein language models
- Commercial rights
- Commercial OK
- Commercial cost
- Free commercially
- Compute
- Heavy GPU
- Open weights
- Yes
- Last verified
Capabilities
Models biological sequence at the nucleotide level across very long contexts. Input: DNA, RNA or protein sequence (up to ~1 Mb context); output: likelihoods for variant-effect prediction, embeddings, or generated sequence. Relevant to design work for variant scoring and regulatory/coding sequence generation rather than structure.
When to use it
Useful when the question is nucleotide-level - variant effects, expression constructs, codon and regulatory design - not when you need a 3D structure. Large models need serious GPU memory.
Input / Output
- Input
- DNA, RNA or protein sequence (up to ~1 Mb context)
- Output
- likelihoods for variant-effect prediction, embeddings, or generated sequence
Compute
Heavy GPU. Other tools with this compute profile →
Commercial Licensing
Commercial rights — may a company use it?
Commercial use OKLicence as writtenApache License 2.0
Repo LICENSE is Apache-2.0 and the Hugging Face checkpoints (arcinstitute/evo2_7b and siblings) declare apache-2.0 in their card metadata, so code and weights are both permissive. The published checkpoints are ungated.
The licence read at the source allows use by a company. Attribution or copyleft conditions may still apply — read the note.
Commercial cost — is commercial use free of charge?
Free for commercial useFree: Apache-2.0 code and weights with no fee. NVIDIA also sells hosted inference, which is optional.
Price and rights are separate: this panel is about money, the panel above is about permission.
- Commercial OK ≠ Free of charge. A tool can be licensed for company use and still need a paid licence for a dependency (BindCraft → PyRosetta).
- Free download ≠ Commercially licensed. Weights you can download at no cost may still forbid commercial use (AlphaFold 3).
- Unverified ≠ Commercially permitted. If no published statement settles it, treat it as unknown — not as a yes.
- Every component counts. Each status considers the code licence, the model-weights terms, required dependencies and any terms of use.
Model Weights
Open weights. A separate weights licence is Not documented as its own field; where weights carry different terms from the code, that is stated in the licence explanation above.
Dependencies
Not documented as a separate field. Any dependency that affects commercial use (for example a paid PyRosetta licence) is named in the licence and cost explanations above.
Official References
- Official site / repo
- github.com/ArcInstitute/evo2
From the makers of FoldScout
From AI Design to Wet-Lab Validation
Designed a promising protein or antibody? Seq2Study helps translate AI-generated sequences into experimental data.
- Protein Expression
- Protein Purification
- Binding Affinity
- Aggregation Assessment
- Stability Evaluation
- Developability Assessment
Get told when a licence changes
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