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Running on Zero
Running on Zero
| title: LayaChess | |
| emoji: ♟️ | |
| colorFrom: gray | |
| colorTo: red | |
| sdk: gradio | |
| sdk_version: 6.29.1 | |
| app_file: app.py | |
| pinned: false | |
| short_description: Play chess against Laya, a fine-tuned decision model | |
| # LayaChess | |
| Play chess against [Laya](https://huggingface.co/convaiinnovations/laya), a 421M-parameter System 1 decision model, | |
| fine-tuned on 2 million Stockfish-rated moves and wrapped in a Monte Carlo tree search. | |
| - Write-up: https://devroopsaha744.github.io/portfolio/blog/laya-chess/ | |
| - Code: https://github.com/devroopsaha744/LayaChess | |
| - Demo video: https://www.youtube.com/watch?v=bPpAlWArs7E | |
| - Model: https://huggingface.co/datafreak/laya-chess | |
| - Run it locally: see the [setup steps](https://github.com/devroopsaha744/LayaChess#run-it-on-your-own-machine) | |
| Laya thinks on ZeroGPU, a shared free GPU, so the first move can take a while and you may wait in a queue. | |
| Laya can think up to 30 seconds a move; that time comes out of each visitor's daily ZeroGPU quota. Stockfish's preferred move is shown next to Laya's for comparison only; it | |
| never picks Laya's moves. | |