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
step7827: step 7827, 500928 examples, eval {'val_loss': 1.5209, 'val_wp_mae': 0.1171, 'top_move_acc': 0.19666666666666666, 'step': 6000}
Browse files- README.md +1 -1
- chess_meta.json +95 -95
- 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': 1.5209, 'val_wp_mae': 0.1171, 'top_move_acc': 0.19666666666666666, 'step': 6000}`
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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: `step7827` (step 7827, 500,928 training examples)
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- latest eval: `{'val_loss': 1.5209, 'val_wp_mae': 0.1171, 'top_move_acc': 0.19666666666666666, 'step': 6000}`
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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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model.safetensors
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
|
| 2 |
-
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:bd94f798940f4d0f94c368a7c307f0ce7659d8a234cb27fff6cc9632c46cce6d
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size 842609220
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