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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/zE5LYnbA“]
[Date “2021.07.10”]
[Round “780.1.690”]
[White “Stockfish 14 64-bit”]
[Black “Fire 8 64-bit”]
[Result “1-0”]
[WhiteElo “3503”]
[BlackElo “3330”]
[Variant “Standard”]
[TimeControl “-“]
[ECO “C11”]
[Opening “French Defense: Steinitz Variation, Boleslavsky Variation”]
[Termination “Normal”]
[Annotator “lichess.org”]
1. e4 e6 2. d4 d5 3. Nc3 Nf6 4. e5 Nfd7 5. f4 c5 6. Nf3 Nc6 7. Be3 { C11 French Defense: Steinitz Variation, Boleslavsky Variation } cxd4 8. Nxd4 Bc5 9. Qd2 O-O 10. O-O-O a6 11. h4 Nxd4 12. Bxd4 b5 13. a3 Rb8 14. Bxc5 Nxc5 15. b4 Nd7 16. Ne2 Nb6 17. Nd4 Bd7 18. h5 a5 19. bxa5 Nc4 20. Bxc4 bxc4 21. h6 g6 22. Qc3 Ra8 23. Kd2 Rxa5 24. Rb1 Ra7?! { (1.00 → 1.60) Inaccuracy. Qa8 was best. } (24… Qa8) 25. Qb4 Re8?! { (1.36 → 1.94) Inaccuracy. Ba4 was best. } (25… Ba4 26. g4) 26. Qc5 Qa8 27. Qd6 Qd8?! { (1.87 → 2.52) Inaccuracy. Rb7 was best. } (27… Rb7 28. Rxb7) 28. c3 Ba4 29. Rb6 Rd7 30. Qb4 Ra7 31. g3 Qa8 32. Ra1 Bb3 33. Ke3 Ba4 34. Kf3 Ra5 35. Kg4 Ra6 36. Rb1 Rxb6 37. Qxb6 Bb3 38. Qd6 Qa7 39. Kg5 Ba4 40. Rb6 Ra8 41. Kf6 Kh8 42. Qb4 Qc7 43. Rb7 Qd8+ 44. Qe7 Qxe7+ 45. Rxe7 Be8 { Black resigns. } 1-0
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