The RT-DETRv2 model was proposed in RT-DETRv2: Improved Baseline with Bag-of-Freebies for Real-Time Detection Transformer by Wenyu Lv, Yian Zhao, Qinyao Chang, Kui Huang, Guanzhong Wang, Yi Liu. RT-DETRv2 refines RT-DETR by introducing selective multi-scale feature extraction, a discrete sampling operator for broader deployment compatibility, and improved training strategies like dynamic data augmentation and scale-adaptive hyperparameters. These changes enhance flexibility and practicality while maintaining real-time performance. This model was contributed by @jadechoghari with the help of @cyrilvallez and @qubvel-hf This is RT-DETRv2 consistently outperforms its predecessor across all…
Open-weight model · Object detection
document-signature-detector-v1
by Duc Le ducln-business/document-signature-detector-v1
document-signature-detector-v1 is a model for object detection from Duc Le (access requested at publisher). It has 128M parameters. At 16-bit it needs about 0.3 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index. It draws 14 downloads a month.
A one-class document object detector for locating handwritten signatures. The model is a YOLOS detector published in the Hugging Face Transformers format. It predicts the class signature (label ID 0).
Parameters128M
Context—
Weights510.9 MB
License—
AccessAccess requested at publisher
Monthly Downloads14
Runs On
What it takes to serve document-signature-detector-v1 (128M parameters): the memory its weights need at each precision, and the cheapest way to rent enough data-center GPUs to hold them.
| Precision | Weights | Memory needed | Cheapest setup | Per hour | Also fits |
|---|---|---|---|---|---|
| 16-bit | 0.3 GB | 0.3 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 0.1 GB | 0.2 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 0.1 GB | 0.1 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
Memory is the weights at that precision plus 20% for the runtime and a short context; a long context needs more. Prices are the lowest on-demand hourly rates in the SAVRN Index, read Oct 20, 2026.
document-signature-detector-v1 on every accelerator the SAVRN Index prices, at every precision
Model Card
A one-class document object detector for locating handwritten signatures. The model is a YOLOS detector published in the Hugging Face Transformers format. It predicts the class signature (label ID 0). It is not an Ultralytics YOLO checkpoint and does not detect stamps or other document marks. - The repository currently requires Hugging Face access approval/authentication to download model files. Install a recent Transformers release and Pillow: Boxes are returned as [xmin, ymin, xmax, ymax] in the original image's pixel coordinates. Choose the confidence threshold for the intended use case; 0.5 is an example only. This checkpoint is a Transformers YOLOS model. Fine-tune it with a…
Excerpt from the card by Duc Le.
Identity and Version
- Repository
- ducln-business/document-signature-detector-v1
- Publisher
- Duc Le
- Task
- Object detection
- Modality
- Image
- Library
- transformers
- Parameters
- 128M parameters
- Languages
- Not stated by the source
- Revision
- fc83f5508070829574838982ae9206646697a1bf
- First published
- 2026-08-14
- Last updated
- 2026-10-06
Files and Weights
7 files, 511.0 MB in total. The weights are 1 file totalling 510.9 MB in safetensors.
Weights1 file · 510.9 MB
Configuration4 files · 13.5 KB
Documentation1 file · 4.0 KB
Repository1 file · 1.5 KB
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model.safetensors | Weights | 510.9 MB | — |
| config.json | Configuration | 820 B | — |
| preprocessor_config.json | Configuration | 421 B | — |
| test_benchmark.json | Configuration | 418 B | — |
| training_history.json | Configuration | 11.9 KB | — |
| README.md | Documentation | 4.0 KB | — |
| .gitattributes | Repository | 1.5 KB | — |
License and Download
- License
- Not stated by the source
- Access
- Access requested at publisher
- Download size
- 510.9 MB
Request access from Duc Le
Duc Le grants access through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 510.9 MB |
| 16-bit | 0.3 GB |
| 8-bit | 0.1 GB |
| 4-bit | 0.1 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About document-signature-detector-v1
How much GPU memory does document-signature-detector-v1 need?
About 0.3 GB at 16-bit and 0.1 GB at 4-bit: the weights (128M parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run document-signature-detector-v1 on?
At 16-bit, 1x MI300X from $1.85 an hour; at 4-bit, 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.
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