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  <url>
    <loc>https://localllmguide.com/</loc>
    <image:image>
      <image:loc>https://localllmguide.com/images/seo/home/preview-16x9.webp</image:loc>
      <image:title>Find the local AI setup your computer can actually run.</image:title>
      <image:caption>Start with your hardware and task. Get a realistic model class, app, and setup path.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://localllmguide.com/guides</loc>
    <image:image>
      <image:loc>https://localllmguide.com/images/seo/guides/preview-16x9.webp</image:loc>
      <image:title>Get one local AI setup working before adding complexity.</image:title>
      <image:caption>Answer-first installation, document, privacy, and workflow guides.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://localllmguide.com/software</loc>
    <image:image>
      <image:loc>https://localllmguide.com/images/seo/software/preview-16x9.webp</image:loc>
      <image:title>Pick local AI software by the job it performs.</image:title>
      <image:caption>Desktop apps, local APIs, browser workspaces, document platforms, and inference engines.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://localllmguide.com/models</loc>
    <image:image>
      <image:loc>https://localllmguide.com/images/seo/models/preview-16x9.webp</image:loc>
      <image:title>Choose a model for the machine and task you actually have.</image:title>
      <image:caption>Start with a curated shortlist. Open the full catalog only when you need the deeper record.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://localllmguide.com/hardware</loc>
    <image:image>
      <image:loc>https://localllmguide.com/images/seo/hardware/preview-16x9.webp</image:loc>
      <image:title>Turn RAM, GPU memory, and unified memory into a model decision.</image:title>
      <image:caption>Direct recommendations for common Mac, Windows, Linux, and GPU configurations.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://localllmguide.com/compare</loc>
    <image:image>
      <image:loc>https://localllmguide.com/images/seo/compare/preview-16x9.webp</image:loc>
      <image:title>Compare the choices that materially change a setup.</image:title>
      <image:caption>Use-case verdicts first. Detailed matrices only when the first decision does not settle it.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://localllmguide.com/troubleshooting</loc>
    <image:image>
      <image:loc>https://localllmguide.com/images/seo/troubleshooting/preview-16x9.webp</image:loc>
      <image:title>Fix the exact local AI failure instead of reinstalling everything.</image:title>
      <image:caption>Start with the symptom, isolate the failing layer, and change one thing at a time.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://localllmguide.com/tools/ram-vram-calculator</loc>
    <image:image>
      <image:loc>https://localllmguide.com/images/seo/ram-vram-calculator/preview-16x9.webp</image:loc>
      <image:title>Calculate whether a local LLM leaves enough memory headroom.</image:title>
      <image:caption>Separate model weights, context, runtime overhead, and memory reserved for normal work.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://localllmguide.com/guides/what-local-llm-can-my-computer-run</loc>
    <image:image>
      <image:loc>https://localllmguide.com/images/seo/what-local-llm-can-my-computer-run/preview-16x9.webp</image:loc>
      <image:title>What local LLM can my computer run?</image:title>
      <image:caption>The useful answer is the model that leaves room for context, documents, and normal work.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://localllmguide.com/compare/ollama-vs-lm-studio</loc>
    <image:image>
      <image:loc>https://localllmguide.com/images/seo/ollama-vs-lm-studio/preview-16x9.webp</image:loc>
      <image:title>Ollama vs LM Studio</image:title>
      <image:caption>Choose LM Studio for the easiest graphical path. Choose Ollama for a lightweight runtime and API.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://localllmguide.com/guides/local-llm-ram-vram-requirements</loc>
    <image:image>
      <image:loc>https://localllmguide.com/images/seo/local-llm-ram-vram-requirements/preview-16x9.webp</image:loc>
      <image:title>RAM, GPU memory, and unified memory are not interchangeable.</image:title>
      <image:caption>Identify the memory pool, choose a sensible model size, and leave headroom.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://localllmguide.com/compare/best-local-ai-setup-for-mac</loc>
    <image:image>
      <image:loc>https://localllmguide.com/images/seo/best-local-ai-setup-for-mac/preview-16x9.webp</image:loc>
      <image:title>Best local AI setup for an Apple Silicon Mac</image:title>
      <image:caption>Choose the first app and model class from the Mac&apos;s unified-memory tier.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://localllmguide.com/compare/best-local-ai-setup-for-windows</loc>
    <image:image>
      <image:loc>https://localllmguide.com/images/seo/best-local-ai-setup-for-windows/preview-16x9.webp</image:loc>
      <image:title>Best local AI setup for a Windows PC</image:title>
      <image:caption>Start with dedicated GPU memory when present; otherwise choose a smaller CPU or integrated-graphics path.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://localllmguide.com/guides/install-ollama</loc>
    <image:image>
      <image:loc>https://localllmguide.com/images/seo/install-ollama/preview-16x9.webp</image:loc>
      <image:title>How to install Ollama</image:title>
      <image:caption>Install the runtime, run one sensible model, and confirm a normal response before adding other tools.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://localllmguide.com/guides/install-lm-studio</loc>
    <image:image>
      <image:loc>https://localllmguide.com/images/seo/install-lm-studio/preview-16x9.webp</image:loc>
      <image:title>How to install LM Studio</image:title>
      <image:caption>Choose a model that fits, load it with ordinary settings, and get a successful chat working first.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://localllmguide.com/guides/open-webui-with-ollama</loc>
    <image:image>
      <image:loc>https://localllmguide.com/images/seo/open-webui-with-ollama/preview-16x9.webp</image:loc>
      <image:title>Use Open WebUI with Ollama</image:title>
      <image:caption>Get Ollama working first. Then connect the browser interface to the local model service.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://localllmguide.com/guides/chat-with-pdfs-locally</loc>
    <image:image>
      <image:loc>https://localllmguide.com/images/seo/chat-with-pdfs-locally/preview-16x9.webp</image:loc>
      <image:title>How to chat with PDFs locally</image:title>
      <image:caption>Extract the text, index it, retrieve the right passage, and answer from that passage.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://localllmguide.com/local-ai-privacy</loc>
    <image:image>
      <image:loc>https://localllmguide.com/images/seo/local-ai-privacy/preview-16x9.webp</image:loc>
      <image:title>Where data can go in a local AI setup</image:title>
      <image:caption>Map models, embeddings, documents, sync, tools, logs, and network exposure—not just the model runner.</image:caption>
    </image:image>
  </url>
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