Gemma-2-9B-IT
google/gemma-2-9b-it
Gemma 2 9B, widely used open model.
Parameters
9.2B
Context
8K
Downloads
1.9M
Likes
3.8K
Architecture
gemma
GPU Requirements
VRAM / RAM / disk estimates by quantization and usage scenario
| Quantization | Minimum | Recommended | Production |
|---|---|---|---|
| FP1616bit | 26.6 GB RAM 39.9 · Disk 65.7 | 43.4 GB RAM 65.0 · Disk 91.7 | 141.3 GB RAM 211.9 · Disk 130.7 |
| FP88bit | 15.8 GB RAM 32.0 · Disk 52.4 | 32.0 GB RAM 48.1 · Disk 78.4 | 129.4 GB RAM 194.1 · Disk 117.4 |
| INT88bit | 15.8 GB RAM 32.0 · Disk 52.4 | 32.0 GB RAM 48.1 · Disk 78.4 | 129.4 GB RAM 194.1 · Disk 117.4 |
| AWQ4bit | 10.6 GB RAM 32.0 · Disk 45.9 | 26.6 GB RAM 39.9 · Disk 71.9 | 123.7 GB RAM 185.6 · Disk 110.9 |
| GPTQ4bit | 10.6 GB RAM 32.0 · Disk 46.0 | 26.7 GB RAM 40.0 · Disk 72.0 | 123.8 GB RAM 185.7 · Disk 111.0 |
| GGUF4bit | 10.8 GB RAM 32.0 · Disk 46.2 | 26.8 GB RAM 40.2 · Disk 72.2 | 124.0 GB RAM 185.9 · Disk 111.2 |
GPU Recommendations
1× H100 SXM
80 GB VRAM
≈ 754.5 tok/s
Effective production throughput ≈ 528.2 tok/s
score 0.5782
2× Tesla V100
32 GB VRAM
≈ 0 tok/s (N/A — benchmark unavailable)
Effective production throughput ≈ 0 tok/s
score 0.6256
8× H200 SXM
1128 GB VRAM
≈ 3459.5 tok/s
Effective production throughput ≈ 2421.6 tok/s
score 0.2197
1× RTX A6000
48 GB VRAM
≈ 173 tok/s
Effective production throughput ≈ 121.1 tok/s
score 0.6388
💬 Community — real deployment experience
0 Articles · 0 Benchmarks
GPUs that fit (single card)
RTX A6000
48 GB VRAM
$210
/mo · vast
RTX 5090
32 GB VRAM
$244
/mo · vast
L40S
48 GB VRAM
$341
/mo · vast
RTX PRO 6000 WS
48 GB VRAM
$586
/mo · vast
A100 80GB
80 GB VRAM
$876
/mo · vast