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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 “Import”]
[Site “https://lichess.org/qgXssbiG“]
[Date “2021.07.11”]
[Round “780.1.731”]
[White “SlowChess Blitz 2.6 64-bit”]
[Black “Stockfish 14 64-bit”]
[Result “0-1”]
[WhiteElo “3375”]
[BlackElo “3503”]
[Variant “Standard”]
[TimeControl “-“]
[ECO “C65”]
[Opening “Ruy Lopez: Berlin Defense”]
[Termination “Normal”]
[Annotator “lichess.org”]
1. e4 e5 2. Nf3 Nc6 3. Bb5 Nf6 { C65 Ruy Lopez: Berlin Defense } 4. d3 Bc5 5. O-O Nd4 6. Nxd4 Bxd4 7. c3 Bb6 8. d4 O-O 9. a4 a6 10. Bd3 d5 11. exd5 Qxd5 12. a5 Ba7 13. dxe5 Qxe5 14. Nd2 Bg4 15. Nf3 Qe6 16. h3 Bh5 17. Ng5 Bxd1 18. Nxe6 fxe6 19. Rxd1 Nd5 20. Kh2 Rxf2 21. Re1 Re8 22. Ra4 c6 23. h4 Bb8+ 24. Kg1 Ba7 25. Kh2 Bb8+ 26. Kg1 Rff8 27. Be2 h6 28. Rg4 Kh8 29. Bd3 Bc7 30. Ra4 Bg3 31. Rd1 e5 32. Bg6 Re6 33. h5 Kg8 34. Bc2 Ree8 35. Rg4 Bf2+ 36. Kh1 Be3?! { (-1.88 → -1.17) Inaccuracy. Re7 was best. } (36… Re7 37. g3 Be3 38. Bg6 Bxc1 39. Rxc1 Nf6 40. Rb4 Rd8 41. Kg1 Kf8 42. c4 e4 43. Kf2) 37. Bg6 Re7 38. Re4 Bxc1 39. Rxc1 Nf6 40. Ree1 e4 41. Kg1 Re5 42. b4 Rd8 43. Rf1?! { (-1.70 → -2.50) Inaccuracy. Re3 was best. } (43. Re3 Kf8 44. Rce1 Rdd5 45. Bxe4 Rxe4 46. Rxe4 Nxe4 47. Rxe4 Rxh5 48. c4 Rg5 49. Kh2 Kf7) 43… Kf8 44. Rce1 Rd3 45. Rf5 Rxf5 46. Bxf5 Rxc3 47. Bc8 c5 48. bxc5 Rxc5 49. Bxb7 Rxa5 50. Rc1 Rxh5 51. Bxa6 Re5 52. Kf2 Kf7 53. g3 Kg6 54. Bb7 Nh5 55. Kg2 Kf5 56. Rc2 g6 57. Re2 Ng7 58. Re1 Ne8 59. Rd1 Nf6 60. Rc1 Kg5 61. Re1 Rb5 62. Bc8 h5 63. Be6 Re5 64. Bb3 Ne8 65. Bc2 Nd6 { White resigns. } 0-1
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