<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Format on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/format/</link><description>Recent content in Format on English AI Terms Dictionary</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 18 Jul 2026 11:44:44 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/en/tags/format/index.xml" rel="self" type="application/rss+xml"/><item><title>GGUF</title><link>https://terms-en.ai-term-hub.com/en/terms/gguf/</link><pubDate>Sat, 18 Jul 2026 09:58:48 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/gguf/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>GGUF (GPT-Generated Unified Format) is a binary file format designed specifically for running large language models on consumer-grade hardware. It supports various quantization techniques, allowing models to be compressed significantly without substantial loss in performance. This format enables efficient inference on CPUs and GPUs by optimizing memory usage and data layout, making it a standard for open-source AI deployment tools like llama.cpp and Ollama, facilitating accessible AI experimentation.&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>A file format developed bygger.ai for storing and loading quantized large language models efficiently on local hardware.&lt;/p></description></item></channel></rss>