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chess-qwen2.5-0.5b-v2
Bilmokhtar23/chess-qwen2.5-0.5b-v2
chess-qwen2.5-0.5b-v2 is a text generation model from Bilmokhtar23. Use it when you need the model to write or continue text. It is set up for transformers.
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).
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- qwen2
- Access
- Public
- Created
- Mar 8, 2026
- Updated
- Mar 8, 2026
- SHA
- 5257b720
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Base models
Datasets
Model card
From the Hugging Face model README
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
- Task
- Text Generation
- Library
- transformers
- Type
- qwen2
- Languages
- en
- Created
- Mar 8, 2026
- Updated
- Mar 8, 2026