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trm-model-sudoku
alphaXiv/trm-model-sudoku
trm-model-sudoku is a machine learning model from alphaXiv. 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.
This is a Tiny Recursive Model (TRM) fine-tuned for solving Sudoku puzzles. The model uses recursive reasoning to fill in missing numbers in Sudoku grids.
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Public
Updated Oct 22, 2025
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94.9 MB
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At a glance
- License
- mit
- Access
- Public
- Created
- Oct 20, 2025
- Updated
- Oct 22, 2025
- SHA
- 3b85a564
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Datasets
Model card
From the Hugging Face model README
TRM Model for Sudoku Solving
Model Description
This is a Tiny Recursive Model (TRM) fine-tuned for solving Sudoku puzzles. The model uses recursive reasoning to fill in missing numbers in Sudoku grids.
- Developed by: alphaXiv
- Model type: TRM-MLP
- Language(s) (NLP): N/A (grid-based reasoning)
- License: MIT
- Finetuned from model: Custom TRM architecture
Intended Use
Primary Use
This model is designed to solve Sudoku puzzles by predicting the correct numbers for empty cells in standard 9x9 Sudoku grids.
Out-of-Scope Use
Not intended for general NLP tasks, image processing, or other puzzle types.
Limitations and Bias
- Trained only on standard 9x9 Sudoku puzzles
- May not handle non-standard Sudoku variants
- Performance depends on puzzle difficulty
Training Data
The model was trained on a dataset of Sudoku puzzles with extreme difficulty levels. The dataset includes:
- Partially filled 9x9 grids
- Correct solutions
- Difficulty ratings
Evaluation Results
| Variant | Metric | Claimed | Achieved |
|---|---|---|---|
| TRM-MLP | Accuracy | 87.4% | 79.37% ± 0.12% |
| TRM-Attention | Accuracy | 74.7% | 73.66% ± 0.13% |
Results from independent reproduction study.
Repository
- License
- mit
- Languages
- en
- Created
- Oct 20, 2025
- Updated
- Oct 22, 2025