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