<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Inference on Singularity</title><link>https://singularity.sg/tags/inference/</link><description>Recent content in Inference on Singularity</description><generator>Hugo</generator><language>en-SG</language><copyright>(c) {year} Abhishek Dujari</copyright><lastBuildDate>Sat, 15 Aug 2026 12:10:00 +0800</lastBuildDate><atom:link href="https://singularity.sg/tags/inference/index.xml" rel="self" type="application/rss+xml"/><item><title>My llama.cpp Command for Qwen3-Coder-Next</title><link>https://singularity.sg/2026/08/my-llama-cpp-command-for-qwen3-coder-next/</link><pubDate>Sat, 15 Aug 2026 12:10:00 +0800</pubDate><guid>https://singularity.sg/2026/08/my-llama-cpp-command-for-qwen3-coder-next/</guid><description>&lt;p&gt;I use this command to run Qwen3-Coder-Next locally with &lt;code&gt;llama-server&lt;/code&gt;. I am keeping the complete command and an explanation of each option here so I do not have to reconstruct it later.&lt;/p&gt;
&lt;p&gt;This is the best configuration I have found so far for an RTX 4090 with 24 GB of VRAM and 64 GB of system RAM. My priority is a longer context window rather than maximum inference speed. There is still room to optimize it further, but this setup works well enough for regular use.&lt;/p&gt;</description></item></channel></rss>