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As usual, downloads will be freely available at stockfishchess.org/download.
The engine is now significantly stronger than just a few months ago, and wins four times more game pairs than it loses against the previous release version. Stockfish 14 is now at least 400 Elo ahead of Stockfish 7, a top engine in 2016. During the last five years, Stockfish has thus gained about 80 Elo per year.
Stockfish 14 evaluates positions more accurately than Stockfish 13 as a result of two major steps forward in defining and training the efficiently updatable neural network (NNUE) that provides the evaluation for positions.
First, the collaboration with the Leela Chess Zero team – announced previously – has come to fruition. The LCZero team has provided a collection of billions of positions evaluated by Leela that we have combined with billions of positions evaluated by Stockfish to train the NNUE net that powers Stockfish 14. The fact that we could use and combine these datasets freely was essential for the progress made and demonstrates the power of open source and open data.
Second, the architecture of the NNUE network was significantly updated: the new network is not only larger, but more importantly, it deals better with large material imbalances and can specialize for multiple phases of the game. A new project, kick-started by Gary Linscott and Tomasz Sobczyk, led to a GPU accelerated net trainer written in pytorch. This tool allows for training high-quality nets in a couple of hours.
Finally, this release features some search refinements, minor bug fixes and additional improvements. For example, Stockfish is now about 90 Elo stronger for chess960 (Fischer random chess) at short time control.
The Stockfish project builds on a thriving community of enthusiasts (thanks everybody!) that contribute their expertise, time, and resources to build a free and open-source chess engine that is robust, widely available, and very strong. We invite our chess fans to join the fishtest testing framework and programmers to contribute to the project on github.
PGN:
[Event “CCRL 40/15”]
[Site “https://lichess.org/4luzpXVO“]
[Date “2021.07.10”]
[Round “779.1.607”]
[White “Stockfish 14 64-bit”]
[Black “Ethereal 13.00 64-bit”]
[Result “1-0”]
[WhiteElo “3503”]
[BlackElo “3361”]
[Variant “Standard”]
[TimeControl “-“]
[ECO “E97”]
[Opening “King’s Indian Defense: Orthodox Variation, Bayonet Attack”]
[Termination “Normal”]
[Annotator “lichess.org”]
1. d4 Nf6 2. Nf3 g6 3. c4 Bg7 4. Nc3 O-O 5. e4 d6 6. Be2 e5 7. O-O Nc6 8. d5 Ne7 9. b4 { E97 King’s Indian Defense: Orthodox Variation, Bayonet Attack } a5 10. bxa5 Rxa5 11. a4 Nh5 12. Re1 f5 13. exf5 Nxf5 14. Bg5 Qd7 15. Ra3 Ra8 16. Bc1 Nf6 17. h3 b6 18. Bd3 Qd8 19. Nb5 Ne8 20. Ng5 Qe7 21. f4 Bd7 22. Be4 Rc8 23. Rd3 Kh8 24. Na7 Ra8 25. Nc6 Qf6 26. Bxf5 Bxc6 27. Bg4 Bxa4 28. Qe2 Qe7?! { (2.51 → 3.28) Inaccuracy. h5 was best. } (28… h5 29. fxe5) 29. Ne6 Rf7 30. Nxg7 Nxg7 31. fxe5 dxe5 32. Ba3 Qh4 33. Qxe5 Bd7 34. Bb2 Bxg4 35. hxg4 Kg8 36. Rf3 Rd7 37. d6 c6 { Black resigns. } 1-0
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