LLMGemma
google/gemma-3-1b-it
google/gemma-3-1b-it
Parameters
1B
Context
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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
Best ValueBEST
1× RTX 5080
16 GB VRAM
$90.6/mo
≈ 2000 tok/s
Effective production throughput ≈ 1400 tok/s
score 0.6015
Cheapest
1× RTX 5060 Ti
8 GB VRAM
$39.7/mo
≈ 933.3 tok/s
Effective production throughput ≈ 653.3 tok/s
score 0.6794
Performance
8× RTX 5090
256 GB VRAM
$2,055/mo
≈ 11946.7 tok/s
Effective production throughput ≈ 8362.7 tok/s
score 0.3581
Min Complexity
1× RTX 5070
12 GB VRAM
$75.2/mo
≈ 1400 tok/s
Effective production throughput ≈ 980 tok/s
score 0.6352
💬 Community — real deployment experience
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GPUs that fit (single card)
RTX 5060 Ti
8 GB VRAM
$39.7
/mo · vast
RTX 4070S Ti
16 GB VRAM
$49.5
/mo · vast
RTX 4080S
16 GB VRAM
$50.0
/mo · vast
RTX 5070
12 GB VRAM
$75.2
/mo · vast
RTX 3090
24 GB VRAM
$76.5
/mo · vast