<?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>31Bモデル 選び方 on Negi AI Lab</title><link>https://ai.negi-lab.com/tags/31b%E3%83%A2%E3%83%87%E3%83%AB-%E9%81%B8%E3%81%B3%E6%96%B9/</link><description>Recent content in 31Bモデル 選び方 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>Thu, 07 May 2026 20:10:00 +0900</lastBuildDate><atom:link href="https://ai.negi-lab.com/tags/31b%E3%83%A2%E3%83%87%E3%83%AB-%E9%81%B8%E3%81%B3%E6%96%B9/index.xml" rel="self" type="application/rss+xml"/><item><title>Gemma 4 MTP比較と選び方！ローカルLLM向けRTX・Mac購入ガイド</title><link>https://ai.negi-lab.com/posts/gemma-4-mtp-local-llm-gpu-guide/</link><pubDate>Thu, 07 May 2026 00:00:00 +0900</pubDate><guid>https://ai.negi-lab.com/posts/gemma-4-mtp-local-llm-gpu-guide/</guid><description>Gemma 4 31Bは24GB VRAM（RTX 3090/4090）で「最高速の思考」を手に入れられる分岐点のモデル。。MTP（Multi-Token...</description></item></channel></rss>