DINOv3 ViT-L/16
Parameters
300M
Context Length
-
Modality
Text
Architecture
-
KV Cache Rate
128 KB/tok
License
other
Release Date
6 Aug 2025
Knowledge Cutoff
-
API Pricing (per 1M)
Self-hosted only
Hardware Sizing
Precision
Context
Workload Memory: 3.64 GB
INT4 · 8K context
Base Weights: 0.14 GB
KV Cache: 1.00 GB
Runtime & Graphs: 2.50 GB
Minimum Required Hardware
1x NVIDIA L4 24GB
3.6 / 21.6 GB usable
1x RTX 3060 12GB
3.6 / 10.8 GB usable
Apple M4 24GB
3.6 / 18.0 GB usable
Determine requirements for your specific workload:
Open in VRAM Calculator
Architecture Diagram
Evaluation Benchmarks
No evaluation benchmarks for DINOv3 ViT-L/16 available.
Rankings
Overall Rank
-
Coding Rank
-
About DINOv3 ViT-L/16
DINOv3 ViT-L/16 is a self-supervised vision transformer foundation model pretrained on large-scale visual data by Meta. It extracts robust semantic representations useful across dense visual downstream tasks.
Technical Specifications
Resources
About DINO
The DINO model family developed by Meta.
Other DINO Models
- No related models available