<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Qwen on Negi AI Lab</title><link>https://ai.negi-lab.com/tags/qwen/</link><description>Recent content in Qwen on Negi AI Lab</description><image><title>Negi AI Lab</title><url>https://ai.negi-lab.com/images/og-default.png</url><link>https://ai.negi-lab.com/images/og-default.png</link></image><generator>Hugo -- 0.154.5</generator><language>ja</language><lastBuildDate>Wed, 03 Jun 2026 03:23:48 +0900</lastBuildDate><atom:link href="https://ai.negi-lab.com/tags/qwen/index.xml" rel="self" type="application/rss+xml"/><item><title>ローカルLLMおすすめPC・GPU比較：Qwen/Gemmaを仕事で使うための選び方と買い得モデル</title><link>https://ai.negi-lab.com/posts/local-llm-gpu-comparison-qwen-rtx-mac/</link><pubDate>Wed, 03 Jun 2026 00:00:00 +0900</pubDate><guid>https://ai.negi-lab.com/posts/local-llm-gpu-comparison-qwen-rtx-mac/</guid><description>「何が動くか」を悩む時間は無駄。Qwen 2.5/3.6クラスの30B前後を基準に据えるのが現在の正解。結論、VRAM 24GB（RTX 3090/409...</description></item></channel></rss>