Qwen2-VL 7B
Qwen/Qwen2-VL-7B-Instruct
Parameters
7.6B
Context
32K
Downloads
1.4M
Likes
1.3K
Architecture
transformer
GPU Requirements
VRAM / RAM / disk estimates by quantization and usage scenario
| Quantization | Minimum | Recommended | Production |
|---|---|---|---|
| FP1616bit | 21.5 GB RAM 32.2 · Disk 61.1 | 24.5 GB RAM 36.7 · Disk 87.1 | 41.1 GB RAM 61.7 · Disk 126.1 |
| FP88bit | 12.5 GB RAM 32.0 · Disk 50.0 | 15.1 GB RAM 32.0 · Disk 76.0 | 31.4 GB RAM 47.1 · Disk 115.0 |
| INT88bit | 12.5 GB RAM 32.0 · Disk 50.0 | 15.1 GB RAM 32.0 · Disk 76.0 | 31.4 GB RAM 47.1 · Disk 115.0 |
| AWQ4bit | 8.2 GB RAM 32.0 · Disk 44.7 | 10.6 GB RAM 32.0 · Disk 70.7 | 26.7 GB RAM 40.0 · Disk 109.7 |
| GPTQ4bit | 8.3 GB RAM 32.0 · Disk 44.8 | 10.7 GB RAM 32.0 · Disk 70.8 | 26.7 GB RAM 40.1 · Disk 109.8 |
| GGUF4bit | 8.4 GB RAM 32.0 · Disk 44.9 | 10.8 GB RAM 32.0 · Disk 70.9 | 26.9 GB RAM 40.3 · Disk 109.9 |
GPU Recommendations
1× RTX 5080
16 GB VRAM
≈ 261.6 tok/s
Effective production throughput ≈ 183.1 tok/s
score 0.6708
1× Tesla V100
16 GB VRAM
≈ 0 tok/s (N/A — benchmark unavailable)
Effective production throughput ≈ 0 tok/s
score 0.6661
8× H100 SXM
640 GB VRAM
≈ 2921 tok/s
Effective production throughput ≈ 2044.7 tok/s
score 0.2256
1× RTX 3080 Ti
12 GB VRAM
≈ 248.5 tok/s
Effective production throughput ≈ 174 tok/s
score 0.6595
💬 Community — real deployment experience
0 Articles · 0 Benchmarks
GPUs that fit (single card)
Tesla V100
16 GB VRAM
$35.7
/mo · vast
RTX 3080 Ti
12 GB VRAM
$60.0
/mo · vast
RTX 4070S Ti
16 GB VRAM
$68.5
/mo · vast
L4
24 GB VRAM
$76.2
/mo · vast
RTX 3090
24 GB VRAM
$79.6
/mo · vast