DeepSeek-VL 7B
deepseek-ai/deepseek-vl-7b-base
Parameters
7B
Context
4K
Downloads
163
Likes
65
Architecture
transformer
GPU Requirements
VRAM / RAM / disk estimates by quantization and usage scenario
| Quantization | Minimum | Recommended | Production |
|---|---|---|---|
| FP1616bit | 20.1 GB RAM 32.0 · Disk 59.3 | 23.0 GB RAM 34.5 · Disk 85.3 | 39.6 GB RAM 59.4 · Disk 124.3 |
| FP88bit | 11.8 GB RAM 32.0 · Disk 49.2 | 14.4 GB RAM 32.0 · Disk 75.2 | 30.6 GB RAM 45.9 · Disk 114.2 |
| INT88bit | 11.8 GB RAM 32.0 · Disk 49.2 | 14.4 GB RAM 32.0 · Disk 75.2 | 30.6 GB RAM 45.9 · Disk 114.2 |
| AWQ4bit | 7.9 GB RAM 32.0 · Disk 44.3 | 10.2 GB RAM 32.0 · Disk 70.3 | 26.3 GB RAM 39.4 · Disk 109.3 |
| GPTQ4bit | 7.9 GB RAM 32.0 · Disk 44.3 | 10.3 GB RAM 32.0 · Disk 70.3 | 26.3 GB RAM 39.5 · Disk 109.3 |
| GGUF4bit | 8.0 GB RAM 32.0 · Disk 44.5 | 10.4 GB RAM 32.0 · Disk 70.5 | 26.4 GB RAM 39.7 · Disk 109.5 |
GPU Recommendations
1× RTX 5080
16 GB VRAM
≈ 284 tok/s
Effective production throughput ≈ 198.8 tok/s
score 0.6641
1× Tesla V100
16 GB VRAM
≈ 0 tok/s (N/A — benchmark unavailable)
Effective production throughput ≈ 0 tok/s
score 0.6595
8× H100 SXM
640 GB VRAM
≈ 3171.6 tok/s
Effective production throughput ≈ 2220.1 tok/s
score 0.1866
1× RTX 3080 Ti
12 GB VRAM
≈ 269.8 tok/s
Effective production throughput ≈ 188.9 tok/s
score 0.6677
💬 Community — real deployment experience
0 Articles · 0 Benchmarks
GPUs that fit (single card)
Tesla V100
16 GB VRAM
$39.5
/mo · vast
RTX 4070S Ti
16 GB VRAM
$49.5
/mo · vast
RTX 3080 Ti
12 GB VRAM
$79.5
/mo · vast
RTX 3090
24 GB VRAM
$89.2
/mo · vast
RTX 5070
12 GB VRAM
$118
/mo · vast