<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI Models on AI VOID</title><link>https://ai-blog.noorshomelab.dev/categories/ai-models/</link><description>Recent content in AI Models on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sun, 07 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/categories/ai-models/index.xml" rel="self" type="application/rss+xml"/><item><title>Setting Up Your Development Environment and Running Initial Inference</title><link>https://ai-blog.noorshomelab.dev/gemma-4-qat-guide-2026/setup-and-initial-inference/</link><pubDate>Sun, 07 Jun 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/gemma-4-qat-guide-2026/setup-and-initial-inference/</guid><description>&lt;p&gt;Welcome to Chapter 5! In our journey through Gemma 4 QAT models, we&amp;rsquo;ve explored the foundational principles of Quantization-Aware Training and the efficient architecture behind Google&amp;rsquo;s latest Gemma 4 family. Now, it&amp;rsquo;s time to bridge theory with practice.&lt;/p&gt;
&lt;p&gt;This chapter guides you through the essential steps to set up your development environment, access the powerful Gemma 4 QAT checkpoints, and execute your very first text generation. You&amp;rsquo;ll learn how to prepare your system with the right tools, install crucial libraries, and run a simple inference, directly observing a quantized model in action. By the end, you&amp;rsquo;ll have a robust, functional setup, ready for deeper exploration and deployment challenges.&lt;/p&gt;</description></item></channel></rss>