<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" xmlns:media="http://search.yahoo.com/mrss/"><channel><title>Model Performance on Shaowen Chen's Website</title><link>https://www.chenshaowen.com/en/tags/model-performance/</link><description>Recent content in Model Performance on Shaowen Chen's Website</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>&amp;copy;2016 - {year}, All Rights Reserved.</copyright><lastBuildDate>Tue, 05 Aug 2025 00:00:00 +0000</lastBuildDate><sy:updatePeriod>weekly</sy:updatePeriod><atom:link href="https://www.chenshaowen.com/en/tags/model-performance/atom.xml" rel="self" type="application/rss+xml"/><item><title>Using VLLM Benchmark for Model Performance Testing</title><link>https://www.chenshaowen.com/en/blog/using-vllm-benchmark-to-test-model-performance.html</link><pubDate>Tue, 05 Aug 2025 00:00:00 +0000</pubDate><atom:modified>Tue, 05 Aug 2025 00:00:00 +0000</atom:modified><guid>https://www.chenshaowen.com/en/blog/using-vllm-benchmark-to-test-model-performance.html</guid><description>VLLM Benchmark is a tool provided by VLLM for testing model performance, supporting a variety of inference backends. This article mainly records some of the process of using VLLM Benchmark to test model performance.
1. Starting the Model Service 1 2 3 4 5 6 7 8 9 10 11 12 13 14 python -m vllm.</description><dc:creator>微信公众号</dc:creator><category>AI</category><category>VLLM</category><category>Benchmarking</category><category>Model Performance</category><category>Testing</category></item></channel></rss>