<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>Reasoning - Tag - Jorgen Bergstrom</title><link>https://bergstrom.org/tags/reasoning/</link><description>Reasoning - Tag - Jorgen Bergstrom</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><copyright>Jorgen Bergstrom</copyright><lastBuildDate>Wed, 07 Oct 2026 00:00:00 -0400</lastBuildDate><atom:link href="https://bergstrom.org/tags/reasoning/" rel="self" type="application/rss+xml"/><item><title>Does Reasoning Help? A Paired MMLU Study on a Local 27B Model</title><link>https://bergstrom.org/posts/mmlu_reasoning/</link><pubDate>Wed, 07 Oct 2026 00:00:00 -0400</pubDate><author>Jorgen Bergstrom</author><guid>https://bergstrom.org/posts/mmlu_reasoning/</guid><description>In Part 1 I benchmarked eight local GGUF models on the full MMLU test set with reasoning switched off. That is, the local LLMs were force to respond with a single letter. In this follow-up article I am repeating the study using one of those models using reasoning on.
The question, and the trap Part 1 ended on a caveat: those scores measured the ability of a model to answer a question directly, with no room to deliberate, and a thinking-capable model would probably do better if you let it think.</description></item></channel></rss>