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# INFOMTALC 2026: Midterm assignment 1: Transformers-based chess player
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## Model Summary
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A LoRA fine-tuned version of the Qwen2.5-1.5B LLM for chess move prediction.
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Given a board state in the Forsyth-Edwards Notation (FEN) notation, the model outputs a move in the Universal Chess Interface (UCI) format.
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# INFOMTALC 2026: Midterm assignment 1: Transformers-based chess player
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## Introduction
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This model was made as part of the course: `Transformers: Applications in Language and Communication`
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which is part of the `Applied Data Science` Master at `Utrecht University`.
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More specifically, this model was made as part of the midterm assignment of this course.
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For this assignment, only a free tier of Google Colab was allowed to train your model.
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Additionally, the use of a pre-trained chess LLM was not permitted.
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## Model Summary
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A LoRA fine-tuned version of the Qwen2.5-1.5B LLM for chess move prediction.
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Given a board state in the Forsyth-Edwards Notation (FEN) notation, the model outputs a move in the Universal Chess Interface (UCI) format.
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