Updated minutes ago
Qwen 2 VL 2B
Alibaba · dense · 2.2B parameters · 32,768 context
Quality50.0
Architecture Details
TypeDENSE
Total Parameters2.2B
Active Parameters2.2B
Layers28
Hidden Dimension1,536
Attention Heads12
KV Heads2
Head Dimension128
Vocab Size151,936
Memory Requirements
BF16 Weights
4.4 GB
FP8 Weights
2.2 GB
INT4 Weights
1.1 GB
KV-Cache per Token14336 bytes
Activation Estimate0.30 GB
Fits on (single-node)
B200 SXM BF16B100 SXM BF16GB200 NVL72 (per GPU) BF16GB300 NVL72 (per GPU) BF16H200 SXM BF16H100 SXM BF16H100 PCIe BF16H100 NVL BF16
GPU Recommendations
RTX 4060optimal
BF16 · 1 GPU · vllm
100/100
score
Throughput
333.8 tok/s
Cost/Month
$209
Cost/M Tokens
$0.24
RTX 3070optimal
BF16 · 1 GPU · vllm
100/100
score
Throughput
549.8 tok/s
Cost/Month
$85
Cost/M Tokens
$0.06
A4000optimal
BF16 · 1 GPU · vllm
90/100
score
Throughput
549.8 tok/s
Cost/Month
$161
Cost/M Tokens
$0.11
API Pricing Comparison
No API pricing data available for this model.
Capabilities
Features
✗ Tool Use✓ Vision✗ Code✗ Math✗ Reasoning✓ Multilingual✓ Structured Output
Supported Frameworks
vllmsglangtgi
Supported Precisions
BF16 (default)FP8INT4