rtdetr_r101vd_coco_o365
1. Model Details 2. Model Sources 3. How to Get Started with the Model 4. Training Details 5. Evaluation 6. Model Architecture and Objective 7. Citation
Params
80 M
Context
—
Downloads 30d
906 K
Likes
19
Download history
daily snapshots · 55 days
▲ 433 K in the last 30 days (91.5%)
906 K498 K
Aug 22Sep 1Sep 11Sep 20
906 K385 K
Jul 28Aug 15Sep 2Sep 20
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 | 0.3 GB | 0.9 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
- RTDetrForObjectDetection
- Parameters
- 80 M
- Tensor type
- F32
- Licence
- apache-2.0
- First seen on the Hub
- 2024-06-05
- Training datasets
- coco
- Added to our catalog
- 2026-07-28
Compare with any object-detection model