Qwen2-VL 72B

Qwen/Qwen2-VL-72B-Instruct

Parameters

72B

Context

32K

Downloads

60.3K

Likes

311

Architecture

transformer

View on HuggingFace

GPU Requirements

VRAM / RAM / disk estimates by quantization and usage scenario

QuantizationMinimumRecommendedProduction
FP1616bit
173.2 GB
RAM 259.8 · Disk 248.2
183.1 GB
RAM 274.7 · Disk 274.2
206.7 GB
RAM 310.0 · Disk 313.2
FP88bit
88.4 GB
RAM 132.6 · Disk 143.6
94.4 GB
RAM 141.7 · Disk 169.6
114.1 GB
RAM 171.2 · Disk 208.6
INT88bit
88.4 GB
RAM 132.6 · Disk 143.6
94.4 GB
RAM 141.7 · Disk 169.6
114.1 GB
RAM 171.2 · Disk 208.6
AWQ4bit
47.6 GB
RAM 71.4 · Disk 93.3
51.8 GB
RAM 77.6 · Disk 119.3
69.6 GB
RAM 104.4 · Disk 158.3
GPTQ4bit
48.1 GB
RAM 72.2 · Disk 93.9
52.3 GB
RAM 78.5 · Disk 119.9
70.2 GB
RAM 105.3 · Disk 158.9
GGUF4bit
49.2 GB
RAM 73.8 · Disk 95.2
53.4 GB
RAM 80.1 · Disk 121.2
71.3 GB
RAM 107.0 · Disk 160.2

GPU Recommendations

Best ValueBEST

1× H100 SXM

80 GB VRAM

$1,170/mo

≈ 96.3 tok/s

Effective production throughput ≈ 67.4 tok/s

score 0.6621

Deploy on vast ↗
Cheapest

4× Tesla V100

64 GB VRAM

$81.2/mo

≈ 0 tok/s (N/A — benchmark unavailable)

Effective production throughput ≈ 0 tok/s

score 0.5827

Deploy on vast ↗
Performance

8× H200 SXM

1128 GB VRAM

$20,440/mo

≈ 441.6 tok/s

Effective production throughput ≈ 309.1 tok/s

score 0.2197

Min Complexity

1× A100 80GB

80 GB VRAM

$876/mo

≈ 58.6 tok/s

Effective production throughput ≈ 41 tok/s

score 0.6588

Deploy on vast ↗

💬 Community — real deployment experience

0 Articles · 0 Benchmarks

View Community →

GPUs that fit (single card)

A100 80GB

80 GB VRAM

$876

/mo · vast

H100 SXM

80 GB VRAM

$1,170

/mo · vast

H200 SXM

141 GB VRAM

$2,555

/mo · lambda

B200

180 GB VRAM

$3,013

/mo · vast

B200 SXM

180 GB VRAM

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