Instructions to use datafreak/laya-chess with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Laya
How to use datafreak/laya-chess with Laya:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
step22680: step 22680, 1451520 examples, eval {'val_loss': 1.3755, 'val_wp_mae': 0.0906, 'top_move_acc': 0.23666666666666666, 'step': 22000}
Browse files- README.md +2 -2
- chess_meta.json +93 -93
- model.safetensors +1 -1
README.md
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for each legal move, a Laya `score` question predicts the side to move's win chance over 10 levels.
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The engine plays the move with the highest expected win chance (no search).
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- checkpoint: `
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- latest eval: `{'val_loss': 1.
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- encoding / levels / prompt template: see `chess_meta.json`
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- code: github.com/devroopsaha744/LayaChess
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for each legal move, a Laya `score` question predicts the side to move's win chance over 10 levels.
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The engine plays the move with the highest expected win chance (no search).
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+
- checkpoint: `step22680` (step 22680, 1,451,520 training examples)
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- latest eval: `{'val_loss': 1.3755, 'val_wp_mae': 0.0906, 'top_move_acc': 0.23666666666666666, 'step': 22000}`
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- encoding / levels / prompt template: see `chess_meta.json`
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- code: github.com/devroopsaha744/LayaChess
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chess_meta.json
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"0-10%",
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model.safetensors
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 842609220
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:0dd60a9d8f3c888feaf50359f0e41c72b2f16ff70bc37be0579d3c1c10242e7d
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size 842609220
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