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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 “?”]
[Site “https://lichess.org/q5v3o6ew“]
[Date “2021.07.05”]
[Round “35”]
[White “Stockfish_14”]
[Black “h6”]
[Result “1-0”]
[WhiteElo “?”]
[BlackElo “?”]
[Variant “Standard”]
[TimeControl “-“]
[ECO “C21”]
[Opening “Danish Gambit”]
[Termination “Unknown”]
[Annotator “lichess.org”]
1. e4 e5 2. d4 exd4 3. c3 { C21 Danish Gambit } Qe7 4. cxd4 Qxe4+ 5. Be3 Bb4+ 6. Nc3 Nf6 7. Nf3 Nd5 8. Qd2 Bxc3 9. bxc3 Nxe3 10. fxe3 O-O 11. Bd3 Qe7 12. O-O d6 13. e4 c5 14. Rae1 h6?! { (0.07 → 0.84) Inaccuracy. cxd4 was best. } (14… cxd4 15. cxd4 Nc6 16. h3 Bd7 17. Bb1 f6 18. a3 Rae8 19. Qc2 g6 20. Ba2+ Kg7 21. Qd2) 15. Bb1 Nc6 16. h3 Bd7 17. Kh1 Rae8 18. e5 d5?! { (0.00 → 0.64) Inaccuracy. dxe5 was best. } (18… dxe5 19. d5 Nb8 20. d6 Qf6 21. Nxe5 Qg5 22. Qd3 g6 23. Nf3 Qg3 24. Ne5) 19. Ng1 Qg5 20. Qb2 b6 21. Qc2 g6 22. Qf2 cxd4 23. cxd4 Rc8 24. Kh2 h5 25. h4 Qe7 26. Ne2 Bg4 27. Nf4 Qd7 28. Qd2 Ne7 29. Rf2 Qc7 30. Ref1 Kg7 31. Nd3 Ng8 32. Qg5 a5 33. Rf6 Rce8 34. Nf4 Nxf6 35. exf6+ Kh7 36. Kg1 Rg8 37. Nxh5 Qd7 38. Ng3 Rh8 39. Kh2?! { (5.64 → 3.76) Inaccuracy. Nf5 was best. } (39. Nf5) 39… Re2 40. Rf4 Re1 41. Bxg6+ fxg6 42. Rxg4 Qf7 43. Nf5 gxf5 44. Qxf5+ Kh6 45. Qg5+ Kh7 46. Qf5+ Kh6 47. Qf4+ Kh7 48. Rg7+ Qxg7 49. fxg7 Rg8 50. Qf5+ Kxg7 51. Qxd5 Ree8 52. Qg5+ Kf7 53. Qf5+ Ke7 54. g4 Rgf8 55. Qd5 Rf6 56. h5 Re6 57. Kg3 Re3+ 58. Kf4 Re6 59. Qb7+ Kd8 60. g5 Rd6 61. g6 Rxd4+ 62. Kf5 Rf8+ 63. Kg5 Rd1 64. g7 Rg1+ 65. Kh6 Rf6+ 66. Kh7 Rg4 67. g8=Q+ Rxg8 68. Kxg8 Rd6 { White wins. } 1-0
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