{
  "id": 16368946,
  "title": "I tried turning my old Samsung Galaxy into a local LLM-hosting machine, and it worked better than I expected",
  "url": "https://urgent.news/2026/10/24/i-tried-turning-my-old-samsung-galaxy-into-a-local-llm-hosting",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-24T20:00:20.000Z",
  "source": {
    "name": "XDA Developers",
    "slug": "xda-developers",
    "url": "https://www.xda-developers.com/tried-old-samsung-galaxy-local-llm-hosting-machine-worked-better-expected/"
  },
  "original_language": "en",
  "account": "A Samsung Galaxy S23 FE user experimented with running a large language model (LLM) on their old device, expecting it to perform poorly due to limited memory and processing power. They installed PocketPal, a client application, but encountered memory issues with larger models like Gemma 4 E2B, causing the app to crash. Switching to Termux and the llama-cpp package allowed them to successfully load and run Gemma 4 E2B, achieving usable performance with split-screen mode. While the model generated inaccuracies, it performed well in tasks like summarization and email replies, proving to be a viable alternative to cloud-based AI services for daily use.",
  "summary": "I had to use several workarounds, though.",
  "key_points": [
    "User tested LLM on old Samsung Galaxy S23 FE",
    "Switched to Termux and llama-cpp package",
    "Gemma 4 E2B performed well in summarization and email replies"
  ],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}