# A 144M-parameter model playing Counter-Strike on my PC

By João Raul Furtado Lucas (https://joaoraul.dev/) · 2026-09-29 · 1 min read. First published on LinkedIn: https://www.linkedin.com/feed/update/urn:li:activity:7510674700524638208/

Canonical: https://joaoraul.dev/writing/julia-plays-counter-strike/

I saw a video of a Jev-like model playing Minecraft, and it was insanely strong. So I thought: how would I do this for Counter-Strike?

A SourceMod plugin controls a bot, handles aim and shooting, and reads what it sees and hears. A small Python bridge describes that in plain English and asks Julia 1 what to do next: hold, peek, crouch spray, fall back, turn toward a sound.

Julia is a 144M-parameter open model that Supersonic Labs, a small lab from Brazil, just released. It doesn’t write text, it just picks an option. Everything runs on my PC, around 28 ms per decision.

In the [video](https://www.linkedin.com/feed/update/urn:li:activity:7510674700524638208/), it’s me and a regular bot against Julia. It’s actually good.

> It also once peeked with an empty magazine. 98% confident.

Next step: writing a demo parser, pulling the data from pro player demos and fine-tuning Julia on it.

Code: [github.com/jrlucas1/csgo-julia-plugin](https://github.com/jrlucas1/csgo-julia-plugin)