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minojev

Freeze a small Qwen model, train a decision head smaller than a million parameters, and it answers typed questions with zero generated tokens.

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What it does

The trained head beats the same backbone's generation baseline 95.8% to 80.0% on the bundled suite, and everything runs on a laptop CPU. Weights and data are public.

How you can use it

You could build a puzzle game where a character decides its next safe move. Instead of waiting for an AI to write words, your app provides a list of moves. The software immediately picks the best option without typing a response.

A developer can install the software to run offline on a regular computer. They can test the included maze project to see how the model chooses a path. Your app must provide at least two choices, and no more than 255, for every question.

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