<?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 wkqcosoft's Blog</title><link>https://wkqco33.github.io/wkqcosoft-docs/tags/qwen/</link><description>Recent content in Qwen on wkqcosoft's Blog</description><generator>Hugo</generator><language>ko-kr</language><copyright>Copyright @2024. wkqcosoft. All rights reserved.</copyright><lastBuildDate>Thu, 06 Aug 2026 13:53:09 +0900</lastBuildDate><atom:link href="https://wkqco33.github.io/wkqcosoft-docs/tags/qwen/index.xml" rel="self" type="application/rss+xml"/><item><title>Ollama 인기 오픈소스 LLM 5종 비교 분석 (Llama 3, Mistral, Gemma, Qwen, Phi)</title><link>https://wkqco33.github.io/wkqcosoft-docs/reports/2026-08-06-ollama%EC%97%90%EC%84%9C-%EA%B0%80%EC%9E%A5-%EC%9D%B8%EA%B8%B0-%EC%9E%88%EB%8A%94-%EB%AA%A8%EB%8D%B8-llama-3-m-71b4fa/</link><pubDate>Thu, 06 Aug 2026 13:53:09 +0900</pubDate><guid>https://wkqco33.github.io/wkqcosoft-docs/reports/2026-08-06-ollama%EC%97%90%EC%84%9C-%EA%B0%80%EC%9E%A5-%EC%9D%B8%EA%B8%B0-%EC%9E%88%EB%8A%94-%EB%AA%A8%EB%8D%B8-llama-3-m-71b4fa/</guid><description>로컬 AI 환경에서 가장 널리 쓰이는 주요 오픈소스 LLM 5종(Llama 3, Mistral, Gemma, Qwen, Phi)의 성능, 하드웨어 요구사양, 라이선스 및 추천 활용 분야 종합 비교</description></item></channel></rss>