yolos-small
YOLOS model fine-tuned on COCO 2017 object detection (118k annotated images). It was introduced in the paper You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection by Fang et al. and first released in this repository.
Params
30 M
Context
—
Downloads 30d
751 K
Likes
101
Download history
daily snapshots · 106 days
▲ 19 K in the last 30 days (2.7%)
751 K697 K
Oct 12Oct 22Nov 1Nov 10
767 K695 K
Aug 13Sep 12Oct 12Nov 10
767 K690 K
Jul 28Sep 1Oct 6Nov 10
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | f32 | 0.1 GB | 0.6 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Architecture
- YolosForObjectDetection
- Parameters
- 30 M
- Tensor type
- F32
- Layers / heads
- 12 / 6
- Licence
- apache-2.0
- First seen on the Hub
- 2022-04-26
- Training datasets
- coco
- Added to our catalog
- 2026-07-28
Compare with any object-detection model