V-JEPA 2
V-JEPA 2 is a model family from Meta (FAIR)13, with 2 assessed releases in this catalog. Licenses and availability are recorded for each release, not for the family; its releases use the Apache License 2.0 (Hugging Face model card) and the MIT License (vjepa2 repository).
V-JEPA 2 is Meta's family of self-supervised video encoders, pretrained on video with a masked latent-feature prediction objective. Meta released it in June 2025 with ViT-L, ViT-H, and ViT-g encoders and an action-conditioned world model (V-JEPA 2-AC) post-trained on robot video, and in March 2026 added V-JEPA 2.1, a retrained family (ViT-B to a 2B-parameter ViT-G) aimed at dense, temporally consistent features.1345
- Repository: vjepa2 repository (external site: github.com)
- Model hub: V-JEPA 2 collection on Hugging Face (external site: huggingface.co)
- Paper: V-JEPA 2 paper (arXiv 2506.09985) (external site: arxiv.org)
- Paper: V-JEPA 2.1 paper (arXiv 2603.14482) (external site: arxiv.org)
Releases assessed
| Release | Weights | Tier (USASI rubric v0.2) | License | Released |
|---|---|---|---|---|
| V-JEPA 2 ViT-g/16 (384 px) | Weights: Public | Model-disclosure tier (USASI rubric v0.2): Open-weight | MIT, Apache-2.0 | Jun 11, 2025 |
| V-JEPA 2.1 ViT-G/16 (384 px) | Weights: Public | Model-disclosure tier (USASI rubric v0.2): Open-weight | MIT | Mar 16, 2026 |
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USASI. (2026, September 29). V-JEPA 2. United States of America Superintelligence. https://unitedstatesofamericasuperintelligence.com/open/v-jepa-2/
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@misc{usasi_v_jepa_2,
author = {{USASI}},
title = {V-JEPA 2},
year = {2026},
month = sep,
howpublished = {\url{https://unitedstatesofamericasuperintelligence.com/open/v-jepa-2/}},
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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