hustvl / object-detection updated 2 years ago

yolos-small

Name: yolos-small
Author: hustvl

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

746 K

Likes

Commercial use: allowed apache-2.0 Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 10 days

753 K733 K

Jul 28Jul 31Aug 3Aug 6

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

table-transformer-structure-recognition 1.5 M table-transformer-detection 1.2 M PP-DocLayoutV3_safetensors 822 K detr-resnet-50 544 K rtdetr_v2_r18vd 295 K table-transformer-structure-recognition-v1.1-all 240 K

Appears in

Best open coding models Commercial-use text models Models that fit in 12 GB