Fine-tuned Qwen2.5-0.5B-Instruct for chess move prediction.
Given a board position in FEN notation and a list of legal moves, the model outputs the best move in UCI format.
Model Description
Developed by: Evelien van Driel
Model type: Causal Language Model (decoder-only)
Language(s) (NLP): English
Finetuned from model: Qwen/Qwen2.5-0.5B-Instruct
Direct Use
Chess move prediction as part of INFOMTALC 2026 (Utrecht University).
Used inside a TransformerPlayer class that queries the model given a FEN position.
Training Details
Training Data
aicrowd/ChessExplained dataset, examples 0–100,000 (100k positions).
First fine-tuned v1 on examples 0–50,000 (chess-qwen-finetuned), then continued fine-tuning from v1 on examples 50,000–100,000 (v2).
Moves are Stockfish-approved.
