google/gemma-3-1b-it
google/gemma-3-1b-it
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Architecture
—
GPU Requirements
VRAM / RAM / disk estimates by quantization and usage scenario
| Quantization | Minimum | Recommended | Production |
|---|---|---|---|
| FP1616bit | 5.9 GB RAM 32.0 · Disk 41.9 | 8.2 GB RAM 32.0 · Disk 67.9 | 24.2 GB RAM 36.3 · Disk 106.9 |
| FP88bit | 4.8 GB RAM 32.0 · Disk 40.5 | 7.0 GB RAM 32.0 · Disk 66.5 | 22.9 GB RAM 34.3 · Disk 105.5 |
| INT88bit | 4.8 GB RAM 32.0 · Disk 40.5 | 7.0 GB RAM 32.0 · Disk 66.5 | 22.9 GB RAM 34.3 · Disk 105.5 |
| AWQ4bit | 4.2 GB RAM 32.0 · Disk 39.8 | 6.4 GB RAM 32.0 · Disk 65.8 | 22.3 GB RAM 33.4 · Disk 104.8 |
| GPTQ4bit | 4.2 GB RAM 32.0 · Disk 39.8 | 6.4 GB RAM 32.0 · Disk 65.8 | 22.3 GB RAM 33.4 · Disk 104.8 |
| GGUF4bit | 4.2 GB RAM 32.0 · Disk 39.8 | 6.4 GB RAM 32.0 · Disk 65.8 | 22.3 GB RAM 33.4 · Disk 104.8 |
GPU Recommendations
1× RTX 3080 Ti
12 GB VRAM
≈ 1900 tok/s
Effective production throughput ≈ 1330 tok/s
score 0.6369
1× Tesla V100
16 GB VRAM
≈ 0 tok/s (N/A — benchmark unavailable)
Effective production throughput ≈ 0 tok/s
score 0.5961
8× RTX 5090
256 GB VRAM
≈ 11946.7 tok/s
Effective production throughput ≈ 8362.7 tok/s
score 0.3522
1× RTX 3080
10 GB VRAM
≈ 1583.3 tok/s
Effective production throughput ≈ 1108.3 tok/s
score 0.6645
💬 Community — real deployment experience
0 Articles · 0 Benchmarks
GPUs that fit (single card)
Tesla V100
16 GB VRAM
$21.1
/mo · vast
RTX 4070S Ti
16 GB VRAM
$49.5
/mo · vast
RTX 3080
10 GB VRAM
$65.8
/mo · vast
RTX 4060 Ti
8 GB VRAM
$79.2
/mo · vast
RTX 3080 Ti
12 GB VRAM
$79.5
/mo · vast