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# Benchmarking vLLM
# Benchmarks
## Downloading the ShareGPT dataset
This directory used to contain vLLM's benchmark scripts and utilities for performance testing and evaluation.
You can download the dataset by running:
```bash
wget https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered/resolve/main/ShareGPT_V3_unfiltered_cleaned_split.json
```
## Contents
- **Serving benchmarks**: Scripts for testing online inference performance (latency, throughput)
- **Throughput benchmarks**: Scripts for testing offline batch inference performance
- **Specialized benchmarks**: Tools for testing specific features like structured output, prefix caching, long document QA, request prioritization, and multi-modal inference
- **Dataset utilities**: Framework for loading and sampling from various benchmark datasets (ShareGPT, HuggingFace datasets, synthetic data, etc.)
## Usage
For detailed usage instructions, examples, and dataset information, see the [Benchmark CLI documentation](https://docs.vllm.ai/en/latest/contributing/benchmarks.html#benchmark-cli).
For full CLI reference see:
- <https://docs.vllm.ai/en/latest/cli/bench/latency.html>
- <https://docs.vllm.ai/en/latest/cli/bench/serve.html>
- <https://docs.vllm.ai/en/latest/cli/bench/throughput.html>