Bilmokhtar23/chess-qwen2.5-0.5b-v2

Model Card for Model ID

A fine-tuned Qwen2.5-0.5B-Instruct model for chess move prediction. Given a board position in FEN notation, the model predicts the best move in UCI format (e.g., e2e4).

Model Details

• —Base model: Qwen/Qwen2.5-0.5B-Instruct
• —Fine-tuning method: SFT with LoRA (r=64, alpha=128)
• —Task: Chess move prediction

Training

• —Data: 500,000 FEN-move pairs from Stockfish-vs-Stockfish games
• —Loss masking: Loss computed only on move tokens, not the prompt