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21 lines
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Markdown
21 lines
1.0 KiB
Markdown
# Benchmarks
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This directory used to contain vLLM's benchmark scripts and utilities for performance testing and evaluation.
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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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