xlm-roberta-large
by FacebookAI
561M params · fill-mask · 498 likes · 6.2M downloads
xlm-roberta-large is a 561M parameter model. At Q4 quantization it requires 0GB of VRAM. It runs comfortably on GeForce RTX 4090 (2339 tok/s), GeForce RTX 5090 (3508 tok/s), M4 Max 128GB (856 tok/s).
Inference providers
| Provider | $/1M in | $/1M out | Throughput |
|---|---|---|---|
| HF Inference |
GPU compatibility
| GPU | VRAM | Q4 Decode | Verdict |
|---|---|---|---|
| GeForce RTX 4090 | 24GB | 2339 tok/s | comfortable |
| GeForce RTX 5090 | 32GB | 3508 tok/s | comfortable |
| M4 Max 128GB | 128GB | 856 tok/s | comfortable |
| M4 Pro 48GB | 48GB | 428 tok/s | comfortable |
| M4 Pro 24GB | 24GB | 428 tok/s | comfortable |
| A100 PCIe 80 GB | 80GB | 4286 tok/s | comfortable |
| H100 SXM5 80 GB | 80GB | 8621 tok/s | comfortable |
| GeForce RTX 3090 | 24GB | 2068 tok/s | comfortable |
| Radeon RX 7900 XTX | 24GB | 1710 tok/s | comfortable |
| GeForce RTX 4080 | 16GB | 1660 tok/s | comfortable |