Updated minutes ago
Vicuna 13B
LMSYS · dense · 13B parameters · 4,096 context
Quality50.0
Architecture Details
TypeDENSE
Total Parameters13B
Active Parameters13B
Layers40
Hidden Dimension5,120
Attention Heads40
KV Heads40
Head Dimension128
Vocab Size32,000
Memory Requirements
BF16 Weights
26.0 GB
FP8 Weights
13.0 GB
INT4 Weights
6.5 GB
KV-Cache per Token819200 bytes
Activation Estimate1.50 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
A100 40GB SXMoptimal
BF16 · 1 GPU · vllm
95/100
score
Throughput
322.9 tok/s
Cost/Month
$807
Cost/M Tokens
$0.95
RTX A6000optimal
BF16 · 1 GPU · vllm
95/100
score
Throughput
159.5 tok/s
Cost/Month
$465
Cost/M Tokens
$1.11
A40optimal
BF16 · 1 GPU · vllm
95/100
score
Throughput
144.5 tok/s
Cost/Month
$399
Cost/M Tokens
$1.05
API Pricing Comparison
No API pricing data available for this model.
Capabilities
Features
✗ Tool Use✗ Vision✓ Code✗ Math✗ Reasoning✗ Multilingual✗ Structured Output
Supported Frameworks
vllmsglangtgiollama
Supported Precisions
BF16 (default)FP8INT4