<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Qwen on It's a Binary World 2.0</title><link>https://www.ericsbinaryworld.com/tags/qwen/</link><description>Recent content in Qwen on It's a Binary World 2.0</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sun, 16 Aug 2026 19:55:25 -0400</lastBuildDate><atom:link href="https://www.ericsbinaryworld.com/tags/qwen/index.xml" rel="self" type="application/rss+xml"/><item><title>Local Qwen Does Well With Images</title><link>https://www.ericsbinaryworld.com/2026/08/16/local-qwen-does-well-with-images/</link><pubDate>Sun, 16 Aug 2026 19:55:25 -0400</pubDate><guid>https://www.ericsbinaryworld.com/2026/08/16/local-qwen-does-well-with-images/</guid><description> &lt;p&gt;After spending 2 posts talking about how badly these local AI models are doing on my machine (&lt;a href="https://www.ericsbinaryworld.com/2026/08/09/ai-roundup-aug-2026/"&gt;here&lt;/a&gt; and &lt;a href="https://www.ericsbinaryworld.com/2026/08/16/more-fun-with-local-ai-models/"&gt;here&lt;/a&gt; ), I &lt;em&gt;did&lt;/em&gt; want to show a example of the model performing surprisingly well. Using qwen 3.5 I asked it to describe the following image:&lt;/p&gt;
&lt;figure&gt;&lt;a href="qwen_image.JPG"&gt;&lt;img src="https://www.ericsbinaryworld.com/2026/08/16/local-qwen-does-well-with-images/qwen_image.JPG"
 alt="A photo taken a long, long time ago"&gt;&lt;/a&gt;&lt;figcaption&gt;
 &lt;p&gt;A photo taken a long, long time ago&lt;/p&gt;
 &lt;/figcaption&gt;
&lt;/figure&gt;

&lt;p&gt;Here is the description that qwen wrote after about a few minutes:&lt;/p&gt;<p><a href="https://www.ericsbinaryworld.com/2026/08/16/local-qwen-does-well-with-images/">Full post</a></p></description></item></channel></rss>