Vicuna 13B
LMSYS · dense · 13B parameters · 4,096 context
Parameters
13B
Context Window
4K tokens
Architecture
Dense
Best GPU
A100 40GB SXM
Intelligence Brief
Vicuna 13B is a 13B parameter DENSE model from LMSYS, featuring Multi-Head Attention (MHA) with 40 layers and 5,120 hidden dimensions. With a 4,096 token context window, it supports code. For self-hosted inference, A100 40GB SXM delivers optimal throughput at $807/month.
Architecture Details
Memory Requirements
BF16 Weights
26.0 GB
FP8 Weights
13.0 GB
INT4 Weights
6.5 GB
GPU Compatibility Matrix
Vicuna 13B is compatible with 82% of GPU configurations across 41 GPUs at 3 precision levels.
GPU Recommendations
BF16 · 1 GPU · vllm
95/100
score
Throughput
322.9 tok/s
Latency (ITL)
3.1ms
Est. TTFT
1ms
Cost/Month
$807
Cost/M Tokens
$0.95
BF16 · 1 GPU · vllm
95/100
score
Throughput
159.5 tok/s
Latency (ITL)
6.3ms
Est. TTFT
1ms
Cost/Month
$465
Cost/M Tokens
$1.11
BF16 · 1 GPU · vllm
95/100
score
Throughput
144.5 tok/s
Latency (ITL)
6.9ms
Est. TTFT
1ms
Cost/Month
$399
Cost/M Tokens
$1.05
Deployment Options
API Deployment
No API pricing available
Single GPU
A100 40GB SXM
$807/mo
Min VRAM: 13 GB
Multi-GPU
RTX 3090 x2
319.5 tok/s
TP· $361/mo
API Pricing Comparison
No API pricing data available for this model.
Performance Estimates
Throughput by GPU
VRAM Breakdown (A100 40GB SXM, BF16)
Precision Impact
bf16
26.0 GB
weights/GPU
~322.9 tok/s
fp8
13.0 GB
weights/GPU
int4
6.5 GB
weights/GPU
Capabilities
Features
Supported Frameworks
Supported Precisions
Where to Deploy Vicuna 13B
Similar Models
Vicuna 7B
7B params · dense
Quality: 50
Vicuna 33B
33B params · dense
Quality: 50
OLMo 2 13B
13B params · dense
Quality: 50
Baichuan 2 13B
13B params · dense
Quality: 50
from $0.25/M
Code Llama 13B
13B params · dense
Quality: 44
from $0.22/M
Frequently Asked Questions
How much VRAM does Vicuna 13B need for inference?
Vicuna 13B requires approximately 26.0 GB of VRAM at BF16 precision, 13.0 GB at FP8, or 6.5 GB at INT4 quantization. Additional VRAM is needed for KV-cache (819200 bytes per token) and activations (~1.50 GB).
What is the best GPU for Vicuna 13B?
The top recommended GPU for Vicuna 13B is the A100 40GB SXM using BF16 precision. It achieves approximately 322.9 tokens/sec at an estimated cost of $807/month ($0.95/M tokens). Score: 95/100.
How much does Vicuna 13B inference cost?
Vicuna 13B inference costs vary by provider and GPU setup. Use our calculator for detailed cost estimates across all providers.