# Meta Releases DINOv3 ViT-L/16 Vision Backbone

> The self-supervised feature extractor arrives on Hugging Face as a general-purpose backbone for downstream vision tasks.

Published by The Open Weights on Aug 6, 2025. Canonical: https://theopenweights.com/news/16-somh

## Key facts

- Company: Meta AI
- Model: DINOv3 ViT-L/16
- Version: v3 ViT-L/16
- Category: Embeddings
- Modalities: Embeddings
- License: Other (Open weights, commercial use allowed)
- Architecture: DINOv3ViTModel
- Precision: FP32
- Weights size: 1.2 GB
- Significance: notable
- Published: 2025-08-06
- Last verified: 2026-10-12
- Hugging Face: https://huggingface.co/facebook/dinov3-vitl16-pretrain-lvd1689m
- Canonical URL: https://theopenweights.com/news/16-somh

Meta AI has published DINOv3 ViT-L/16, a self-supervised vision transformer that turns images into rich feature embeddings. The model is now available on [Hugging Face](https://huggingface.co/facebook/dinov3-vitl16-pretrain-lvd1689m), continuing Meta's DINO line of label-free representation learners.

Unlike image classifiers trained on human-annotated categories, DINOv3 learns visual structure by self-supervision—training on a large image corpus (denoted LVD-1689M in the repository name) without explicit labels. The result is a general-purpose backbone whose embeddings can be reused across many downstream tasks.

## Why it matters

Foundation vision backbones are the quiet workhorses behind modern computer vision. A strong, openly available feature extractor lets developers build on top rather than train from scratch.

- **Self-supervised:** no labeled data required to produce useful features.
- **Versatile output:** embeddings suit classification, segmentation, retrieval, and detection heads.
- **Large variant:** the ViT-L/16 sits in the larger end of the DINOv3 family, trading compute for representational quality.

The model carries a custom Meta license rather than a standard permissive one, so teams should review the terms before production use. For researchers and practitioners already working with DINOv2, this release offers a natural upgrade path to evaluate.

## Get the model

- [Hugging Face](https://huggingface.co/facebook/dinov3-vitl16-pretrain-lvd1689m)

## Sources

- [facebook/dinov3-vitl16-pretrain-lvd1689m](https://huggingface.co/facebook/dinov3-vitl16-pretrain-lvd1689m) — Hugging Face, Aug 6, 2025

---
Source: The Open Weights (https://theopenweights.com/). Aggregated and written by Claude, curated by humans. Cite as: "Meta Releases DINOv3 ViT-L/16 Vision Backbone", The Open Weights, Aug 6, 2025, https://theopenweights.com/news/16-somh