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chess-gpt2-124m
ogulcanhayirli/chess-gpt2-124m
chess-gpt2-124m is a machine learning model from ogulcanhayirli. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Fine-tuned GPT-2 (124M parameters) for chess move prediction.
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At a glance
- License
- mit
- Model type
- gpt2
- Access
- Public
- Created
- Mar 4, 2026
- Updated
- Mar 4, 2026
- SHA
- 035dac88
Model card
From the Hugging Face model README
Chess GPT-2 124M
Fine-tuned GPT-2 (124M parameters) for chess move prediction.
Training Details
- Base model: gpt2 (124M parameters)
- Dataset: Lichess/chess-position-evaluations (Stockfish depth≥20)
- Training examples: 490,000
- Epochs: 2
- Batch size: 16
- Learning rate: 5e-05
- Max sequence length: 80
- Format:
FEN: <fen_string> MOVE: <uci_move>
Usage
The model predicts the best UCI move given a FEN position. Use with constrained decoding (lm-format-enforcer) for 100% legal move rate.
Inference
prompt = "FEN: rnbqkbnr/pppppppp/8/8/8/8/PPPPPPPP/RNBQKBNR w KQkq - 0 1 MOVE: "
- Type
- gpt2
- License
- mit
- Languages
- en
- Created
- Mar 4, 2026
- Updated
- Mar 4, 2026