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YKS-LLM-v3

YKS-LLM-v3 is a text-only Large Language Model fine-tuned for Turkish exam-style mathematics questions (YKS).

Unlike earlier vision-based versions, this model operates purely on structured text input and focuses on reasoning quality, solution consistency, and exam-aligned outputs.

It is designed to be the core reasoning engine in the YKS pipeline, typically consuming cleaned / parsed text produced by an upstream OCR or VLM component.

check us out: cga-labs.com

What this model is good at • Solving Turkish YKS-style math questions from clean text • Producing step-by-step, human-readable solutions • Maintaining ÖSYM-like reasoning flow and notation • Handling multi-step algebra, geometry, and function problems • Generating stable, structured outputs for evaluation and downstream use • Acting as the final solver in a modular YKS system

This model is not responsible for: • OCR • Image understanding • Layout parsing

It assumes the question is already correctly extracted into text.

Typical output format

{ "answer": "C", "solution_steps": [ "Fonksiyonun tek olduğu bilgisi kullanılarak f(-x) = -f(x) yazılır.", "g fonksiyonunun çift olması nedeniyle g(-x) = g(x) elde edilir.", "(f + g)(-x) - (f + g)(x) ifadesi sadeleştirilir.", "Elde edilen polinom katsayıları karşılaştırılarak a ve b bulunur.", "Bulunan değerler f(2a + b) ifadesinde yerine yazılır ve sonuç hesaplanır." ] }

Design philosophy • Text-first reasoning: no visual noise, no hallucinated diagrams • Exam realism over flashy chain-of-thought • Structured outputs over free-form explanations • Composable architecture: works cleanly with VLMs, OCR pipelines, and evaluators

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