t5-large
by google-t5
738M params · translation · 250 likes · 343.9k downloads
t5-large is a 738M parameter model. At Q4 quantization it requires 0GB of VRAM. It runs comfortably on GeForce RTX 4090 (1779 tok/s), GeForce RTX 5090 (2669 tok/s), M4 Max 128GB (651 tok/s).
Inference providers
| Provider | $/1M in | $/1M out | Throughput |
|---|---|---|---|
| HF Inference |
GPU compatibility
| GPU | VRAM | Q4 Decode | Verdict |
|---|---|---|---|
| GeForce RTX 4090 | 24GB | 1779 tok/s | comfortable |
| GeForce RTX 5090 | 32GB | 2669 tok/s | comfortable |
| M4 Max 128GB | 128GB | 651 tok/s | comfortable |
| M4 Pro 48GB | 48GB | 325 tok/s | comfortable |
| M4 Pro 24GB | 24GB | 325 tok/s | comfortable |
| A100 PCIe 80 GB | 80GB | 3261 tok/s | comfortable |
| H100 SXM5 80 GB | 80GB | 6559 tok/s | comfortable |
| GeForce RTX 3090 | 24GB | 1573 tok/s | comfortable |
| Radeon RX 7900 XTX | 24GB | 1301 tok/s | comfortable |
| GeForce RTX 4080 | 16GB | 1263 tok/s | comfortable |