<?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>Mac Mini M4 on Negi AI Lab</title><link>https://ai.negi-lab.com/tags/mac-mini-m4/</link><description>Recent content in Mac Mini M4 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>Sat, 19 Sep 2026 04:28:56 +0900</lastBuildDate><atom:link href="https://ai.negi-lab.com/tags/mac-mini-m4/index.xml" rel="self" type="application/rss+xml"/><item><title>ローカルLLM向けMac miniとRTXの選び方｜8GBメモリで27Bモデルを動かす設定と失敗しない実務環境</title><link>https://ai.negi-lab.com/posts/local-llm-mac-vs-rtx-buying-guide/</link><pubDate>Sat, 19 Sep 2026 00:00:00 +0900</pubDate><guid>https://ai.negi-lab.com/posts/local-llm-mac-vs-rtx-buying-guide/</guid><description>最小構成の8GB M2 Mac miniでも、特定の設定（4つのフラグ）と量子化を活用すれば27Bモデルが7.6 tok/sで実用レベルで動作する。ただし...</description></item></channel></rss>