Gemma-4-31B-it-pearl
by pearl-ai
31.3B params · image-text-to-text · 4 likes · 6.5k downloads
Gemma-4-31B-it-pearl is a 31.3B parameter model. At Q4 quantization it requires 16GB of VRAM. It runs comfortably on GeForce RTX 4090 (41 tok/s), GeForce RTX 5090 (62 tok/s), A100 PCIe 80 GB (76 tok/s).
Inference providers
| Provider | $/1M in | $/1M out | Throughput |
|---|---|---|---|
| Together AI | 24 tok/s |
GPU compatibility
| GPU | VRAM | Q4 Decode | Verdict |
|---|---|---|---|
| GeForce RTX 4090 | 24GB | 41 tok/s | comfortable |
| GeForce RTX 5090 | 32GB | 62 tok/s | comfortable |
| M4 Max 128GB | 128GB | 15 tok/s | tight |
| M4 Pro 48GB | 48GB | 7 tok/s | tight |
| M4 Pro 24GB | 24GB | 7 tok/s | tight |
| A100 PCIe 80 GB | 80GB | 76 tok/s | comfortable |
| H100 SXM5 80 GB | 80GB | 154 tok/s | comfortable |
| GeForce RTX 3090 | 24GB | 37 tok/s | comfortable |
| Radeon RX 7900 XTX | 24GB | 30 tok/s | comfortable |
| M4 Max 64GB | 64GB | 15 tok/s | tight |