Evo 2 20B
Evo 2 20B is an open-weight model release in the Evo 2 family from Arc Institute14, version evo2_20b, released Feb 28, 2026. Its weights can be downloaded by the public123 under the Apache License 2.01.
A 20-billion-parameter Evo 2 checkpoint with 1 million base-pair context, released in February 2026. Arc created it from Evo 2 40B without additional training by removing layers that logit-lens analysis showed could be dropped with little effect on loss, while keeping the unembedding layer.14
- Model hub: Model card (Hugging Face) (external site: huggingface.co)
- Release notes: Release v0.5.0 notes (external site: github.com)
- Repository: GitHub repository (external site: github.com)
On AI on Hugging Face: arcinstitute/evo2_20b
Availability and license
Overall availability
Downloadable from Hugging Face without gating.12
Availability is separate from permission: read the license before using or redistributing.
Apache License 2.0 (external site: huggingface.co)1
Plain-language guide to the Apache License 2.0Apache License 2.0 (evo2 inference code) (external site: raw.githubusercontent.com)6
Plain-language guide to the Apache License 2.0
The evo2 LICENSE file also carries the notices for bundled third-party code, including a BSD-style NVIDIA license and the MIT license for Fairseq code.6
Component reuse rights
- weights
- Unknown — no complete fact-level rights review
- code
- Unknown — no complete fact-level rights review
- data
- Unknown — no complete fact-level rights review
- documentation
- Unknown — no complete fact-level rights review
No complete system-rights review is recorded for this release.
Model-disclosure tier
The model parameters for this release can be downloaded by the public. License terms may still restrict use, redistribution, or commercial use.
Public materials checklist
| Item | Status | Notes and evidence |
|---|---|---|
| WeightsCan the general public download the model parameters for this release? | Public | Weights are on Hugging Face without gating; a Savanna-format checkpoint (savanna_evo2_20b) is also published.123 |
| Inference codeIs code for running the model published? | Public | The evo2 package on GitHub supports evo2_20b under Apache 2.0.56 |
| Training codeIs the code used to train the model published? | Partial | No further training was done; the weights come from Evo 2 40B, which the README says was trained with the open-source Savanna framework. Code for the layer-removal step was not identified.45 |
| Training-data informationDoes the information cover provenance, scope, acquisition, selection, labeling, processing, and where data or alternatives can be obtained? Access alone does not establish completeness. | Unknown | Not assessed. |
| Training-data accessCan the training data be obtained? This is independent of information completeness and reuse rights; original unshareable data need not be downloadable. | Unknown | Not assessed. |
| Complete training pipelineIs the complete base-training and preprocessing pipeline published, including configuration? Fine-tuning code or an inference SDK alone is insufficient. | Unknown | Not assessed. |
| Legacy data assessment (v0.1)Historical assessment combining download access and disclosure. Preserved for traceability; excluded from the v0.2 tier calculation. See the new separate assessments above. | Public | The card lists OpenGenome2, the Evo 2 pretraining dataset, which is downloadable from Hugging Face.17 |
| Training recipeAre the training configuration and procedure documented in enough detail to follow? | Partial | The release notes describe the layer-removal method at a high level; the exact layers removed were not found in the pages reviewed.4 |
| Evaluation materialsPublic = evaluation code or prompts that let others re-run the evaluations are published. Partial = results only. | Partial | The release notes compare the 20B and 40B checkpoints on variant effect prediction and gene completion; evaluation scripts for those comparisons were not identified.4 |
What it is useful for
Run and use notes
Organization context
Provenance and derivatives
Derived by Arc Institute from its own Evo 2 40B checkpoint through layer removal, without additional training.4
- Derived from: Evo 2 40B (evo2_40b) — Source checkpoint.
Other releases in the Evo 2 family
- Evo 2 40BModel-disclosure tier (USASI rubric v0.2): Open-weight
What this catalog does not know
- Training-data information: unknown.
- Training-data access: unknown.
- Complete training pipeline: unknown.
Have a primary source? How to report a correction.
U.S. eligibility
Sources
This listing is not an endorsement, a safety assessment, or a federal approval.
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Cite this page
APA style
USASI. (2026, September 29). Evo 2 20B. United States of America Superintelligence. https://unitedstatesofamericasuperintelligence.com/open/evo-2-20b/
BibTeX
@misc{usasi_evo_2_20b,
author = {{USASI}},
title = {Evo 2 20B},
year = {2026},
month = sep,
howpublished = {\url{https://unitedstatesofamericasuperintelligence.com/open/evo-2-20b/}},
note = {United States of America Superintelligence. Last updated 2026-09-29}
}The date is when this page was last updated. Add the date you read it if your style needs one.
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