Original Summary

Basically, I didn&#x27;t want to waste my opus 5.5 or codex Astra credits just to find files in my machine, so I trained a local LLM which is only 1.5B to write bash to find files on your macos laptop (works on apple silicon, uses little ram).<p>Full privacy since it&#x27;s local so you can look for your sensitive files and api keys without sending them to a third party server.<p>It outperforms strong cloud models like Gemini 3.8 Flash and hefty 31B Param Gemma models in the file search benchmark I created to measure competency, details here: <a href="https:&#x2F;&#x2F;shlexball.com&#x2F;findbench&#x2F;" rel="nofollow">https:&#x2F;&#x2F;shlexball.com&#x2F;findbench&#x2F;</a>

  • 情报分类：技术学习与提效
  • 分类依据：内容涉及技术、AI、软件工具或工程实践
  • 信息来源：Hacker News 新项目
  • 发布时间：2026/10/5 07:05:21