Magnus Carlsen Advanced Chess Model
Model Card
Model Details
- Model Name: Advanced Magnus Carlsen Chess Model
- Model Version: v20250626_170216
- Model Type: Neural Network for Chess Move Prediction
- Architecture: Transformer-based AdvancedMagnusModel
- Parameters: 2,651,538
- Framework: PyTorch
Intended Use
This model is designed to predict chess moves in the style of Magnus Carlsen, the world chess champion. It can be used for:
- Chess analysis and training
- Move recommendation systems
- Chess AI applications
- Educational chess tools
- Research in chess AI
Training Data
- Source: Magnus Carlsen's professional games
- Size: 500+ games processed
- Preprocessing: Advanced position feature extraction
- Vocabulary: 945 unique chess moves
Performance
- Test Accuracy: 6.65%
- Top-3 Accuracy: 11.58%
- Top-5 Accuracy: 14.17%
- Training Time: 140+ minutes
Limitations
- Trained specifically on Magnus Carlsen's playing style
- May not generalize to all chess positions equally
- Requires proper position feature extraction
- Performance varies by game phase and position complexity
Ethical Considerations
- This model should be used as an educational and analysis tool
- Not intended to replace human judgment in professional chess
- Users should understand this represents one player's style, not objective "best" moves
License
MIT License - Free for research, educational, and commercial use.