Updated minutes ago
Florence 2 Large
Microsoft · dense · 0.77B parameters · 2,048 context
Quality50.0
Architecture Details
TypeDENSE
Total Parameters0.77B
Active Parameters0.77B
Layers24
Hidden Dimension1,024
Attention Heads16
KV Heads16
Head Dimension64
Vocab Size51,289
Memory Requirements
BF16 Weights
1.5 GB
FP8 Weights
0.8 GB
INT4 Weights
0.4 GB
KV-Cache per Token98304 bytes
Activation Estimate0.20 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
90/100
score
Throughput
906.0 tok/s
Cost/Month
$209
Cost/M Tokens
$0.09
RTX 3070optimal
BF16 · 1 GPU · vllm
90/100
score
Throughput
1.5K tok/s
Cost/Month
$85
Cost/M Tokens
$0.02
B200 SXMoptimal
FP8 · 1 GPU · tensorrt-llm
83/100
score
Throughput
3.5K tok/s
Cost/Month
$4261
Cost/M Tokens
$0.46
API Pricing Comparison
No API pricing data available for this model.
Capabilities
Features
✗ Tool Use✓ Vision✗ Code✗ Math✗ Reasoning✗ Multilingual✓ Structured Output
Supported Frameworks
vllm
Supported Precisions
BF16 (default)FP8INT4