detr-resnet-101
by facebook
61M params · object-detection · 125 likes · 51.3k downloads
detr-resnet-101 is a 61M parameter model. At Q4 quantization it requires 0GB of VRAM. It runs comfortably on GeForce RTX 4090 (21639 tok/s), GeForce RTX 5090 (32451 tok/s), M4 Max 128GB (7918 tok/s).
Inference providers
| Provider | $/1M in | $/1M out | Throughput |
|---|---|---|---|
| HF Inference |
GPU compatibility
| GPU | VRAM | Q4 Decode | Verdict |
|---|---|---|---|
| GeForce RTX 4090 | 24GB | 21639 tok/s | comfortable |
| GeForce RTX 5090 | 32GB | 32451 tok/s | comfortable |
| M4 Max 128GB | 128GB | 7918 tok/s | comfortable |
| M4 Pro 48GB | 48GB | 3959 tok/s | comfortable |
| M4 Pro 24GB | 24GB | 3959 tok/s | comfortable |
| A100 PCIe 80 GB | 80GB | 39647 tok/s | comfortable |
| H100 SXM5 80 GB | 80GB | 79742 tok/s | comfortable |
| GeForce RTX 3090 | 24GB | 19132 tok/s | comfortable |
| Radeon RX 7900 XTX | 24GB | 15821 tok/s | comfortable |
| GeForce RTX 4080 | 16GB | 15357 tok/s | comfortable |