Show HN: Shlexball, describe a file and a local 1.5B model finds it on your Mac

A developer released Shlexball, a 1.5B-parameter local LLM that translates natural-language file descriptions into bash commands to locate files on Apple Silicon Macs, claiming it outperforms Gemini 3.8 Flash and 31B-parameter Gemma models on the creator's own file-search benchmark, FindBench. The tool runs entirely on-device with low RAM usage, so users can search for sensitive files and API keys without sending them to a third-party server.

Basically, I didn'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 . Full privacy since it's local so you can look for your sensitive files and api keys without sending them to a third party server. 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: https://shlexball.com/findbench/ https://shlexball.com/findbench/ Comments URL: https://news.ycombinator.com/item?id=49958869 https://news.ycombinator.com/item?id=49958869 Points: 1 Comments: 0