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[ARTICLE · art-145061] src=shlexball.com ↗ pub= topic=large-language-models verified=true sentiment=↑ positive

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.

read1 min views1 publishedOct 4, 2026

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/

Comments URL: [https://news.ycombinator.com/item?id=49958869](https://news.ycombinator.com/item?id=49958869)

Points: 1

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