Chess engine: Smallbrain 6.0 NNUE

-

 


Smallbrain - UCI engine
Author: Disservin Rating CEDR=2914
github:https://github.com/Disservin/Smallbrain/releases/tag/6.0.0

v.6.0
After months of development I now release 6.0.
A lot in the codebase has changed and has been rewritten, a lot of parts are now cleaner and smaller.
This version uses a neural network trained on smallbrain data. About 500 million depth 9 fens, 5% was special endgame generated data + 95% normal selfplay data.

Comparison against v5.0 at 8+0.08s.
ELO   | 193.45 +- 7.82 (95%)
CONF  | 8.0+0.08s Threads=1 Hash=16MB
GAMES | N: 5000 W: 2799 L: 271 D: 1930
Syzygy support has also been added and gains decent elo at 8+0.08s.

   # PLAYER                  : RATING  ERROR   POINTS  PLAYED    (%)
   1 smallbrain5.0_syzygy_6  :    8.2    4.6   5103.0   10000   51.0%
   2 smallbrain5.0           :    0.0   ----   4897.0   10000   49.0%

White advantage = 125.60 +/- 2.36
Draw rate (equal opponents) = 61.95 % +/- 0.59

Smallbrain 6.0 download

Individual statistics: Smallbrain 4.0 - 183 games CEDR (+ 67,= 43,- 73), 48.4 %
Critter 1.6a                  :   6 (+  2,=  2,-  2), 50.0 %
Kouri 1.15                    :   1 (+  1,=  0,-  0), 100.0 %
Fritz 17                      :   8 (+  0,=  4,-  4), 25.0 %
Raubfisch X48e                :   2 (+  0,=  1,-  1), 25.0 %
Stockfish 15                  :   8 (+  0,=  0,-  8),  0.0 %
Fisherov 0.98k                :   4 (+  0,=  0,-  4),  0.0 %
Walleye 1.6.0                 :   1 (+  1,=  0,-  0), 100.0 %
Frozenight 3.0.1              :   1 (+  0,=  1,-  0), 50.0 %
GOOB 1.0                      :   1 (+  1,=  0,-  0), 100.0 %
Pigeon 1.5.1 fix              :   1 (+  1,=  0,-  0), 100.0 %
Inanis 1.0.1                  :   1 (+  1,=  0,-  0), 100.0 %
Lozza 2.2                     :   2 (+  0,=  2,-  0), 50.0 %
Wasp 5.50                     :   1 (+  0,=  1,-  0), 50.0 %
Arasan 23.3                   :   6 (+  0,=  0,-  6),  0.0 %
Caligula 1.0b                 :   1 (+  1,=  0,-  0), 100.0 %
Caissa 0.5                    :   2 (+  0,=  1,-  1), 25.0 %
Tinman 0.41 dev               :   1 (+  1,=  0,-  0), 100.0 %
ChessKISS 1.8                 :   4 (+  3,=  1,-  0), 87.5 %
Rebel 15x2                    :   3 (+  0,=  2,-  1), 33.3 %
Neuromancer 1.2               :   1 (+  1,=  0,-  0), 100.0 %
StockfishMZ 170522            :   2 (+  0,=  0,-  2),  0.0 %
Eggnog 3.0                    :   1 (+  0,=  1,-  0), 50.0 %
Leorik 2.1                    :   1 (+  1,=  0,-  0), 100.0 %
Berserk 9-dev3                :   4 (+  0,=  1,-  3), 12.5 %
Kayra 1.4                     :   1 (+  0,=  0,-  1),  0.0 %
StockfishMZ Iccf 240522       :   4 (+  0,=  1,-  3), 12.5 %
Deep Shredder 13              :   6 (+  0,=  2,-  4), 16.7 %
Fritz 15                      :   1 (+  1,=  0,-  0), 100.0 %
Fat Titz 110122 64 BMI2 NUMA  :   2 (+  0,=  0,-  2),  0.0 %
Horowitz 2.2                  :   1 (+  1,=  0,-  0), 100.0 %
Uralochka 3.36c               :   1 (+  0,=  1,-  0), 50.0 %
Eubos 2.12                    :   1 (+  1,=  0,-  0), 100.0 %
Marvin 6.0.0                  :   2 (+  0,=  0,-  2),  0.0 %
Protej 0.6.3                  :   7 (+  6,=  1,-  0), 92.9 %
Crystal 060622                :   2 (+  0,=  0,-  2),  0.0 %
Berserk 9                     :   3 (+  0,=  0,-  3),  0.0 %
Journeyman 2.1                :  15 (+  7,=  6,-  2), 66.7 %
Fisherov chess monk 1.2       :   2 (+  0,=  0,-  2),  0.0 %
Anka 0.6.3                    :   1 (+  1,=  0,-  0), 100.0 %
Alexandria 2.1.0              :   7 (+  4,=  3,-  0), 78.6 %
CorChess 210622               :   9 (+  0,=  0,-  9),  0.0 %
Gargantua 1.0                 :  16 (+  4,=  5,-  7), 40.6 %
Odonata 0.6.2                 :  13 (+  9,=  4,-  0), 84.6 %
Jackychess 0.12.0             :   7 (+  7,=  0,-  0), 100.0 %
MisterQueen                   :   1 (+  1,=  0,-  0), 100.0 %
Weiawaga 5.0                  :   1 (+  0,=  1,-  0), 50.0 %
BLANK 1.3.0                   :   1 (+  1,=  0,-  0), 100.0 %
Avalanche 1.0.0               :   1 (+  1,=  0,-  0), 100.0 %
Popochin 4.3                  :   1 (+  1,=  0,-  0), 100.0 %
Monochrome r203               :   1 (+  1,=  0,-  0), 100.0 %
Tantabus 2.0.0                :   1 (+  0,=  0,-  1),  0.0 %
Rustic-alpha 3.0.0            :   1 (+  1,=  0,-  0), 100.0 %
Sapeli 2.0                    :   1 (+  1,=  0,-  0), 100.0 %
Prophet 4.2                   :   1 (+  1,=  0,-  0), 100.0 %
Princhess 0.7.0               :   1 (+  1,=  0,-  0), 100.0 %
ChessMatrix 1.0.6             :   1 (+  1,=  0,-  0), 100.0 %
Claudia 0.51                  :   1 (+  1,=  0,-  0), 100.0 %
Alexandria 2.2                :   2 (+  1,=  1,-  0), 75.0 %
Devre 3.0                     :   2 (+  0,=  1,-  1), 25.0 %
Vafra 12.1 Cfish              :   2 (+  0,=  0,-  2),  0.0 %

Comments

Post a Comment

Popular posts from this blog

Torch-4 UCI v 1.01 - new version chess engine

-
Image
Torch-4 UCI v 1.01 what's new? Bugfix regarding relative node.exe and engine path. If torch.exe previously did not work in some GUIs, it now should. Download the source code as a zip file, extract it and use either torch.exe or torch.bat as the engine. github:https://github.com/Felixk45/Torch-4-UCI-chess-engine/releases Torch-4 UCI v 1.01 download from page
Read more

Reckless 0.10.0 - new version super strong chess engine

-
Image
  Reckless , a Rust-based UCI chess engine. Author: Arseniy Surkov    Rating Chess Engines Diary CEDR=3743 Reckless is the new star among chess engines. On the new Chess Engines Diary CEDR ranking list, Reckless is ranked 2th with a rating of 3743 . Testing of the new engine version is coming soon. Reckless 0.9.0 what's new? Reckless 0.9.0 is ready! You can download pre-built binaries for Windows, Linux, and macOS from the GitHub Releases page. Thanks to everyone who contributed through code, testing, hardware support, or any other effort. This release came together because of your help. Update highlights NNUE The neuron network has been updated to a modern threat-based architecture. It models the interactions between pieces, where one piece attacks or defends another, and extends the existing king-bucketed piece-square-based inputs with additional features. Multithreading and NUMA support NUMA (Non-Uniform Memory Access) support has been added to Reckless. Work...
Read more

Reckless 0.9.0 - new version super strong chess engine

-
Image
  Reckless , a Rust-based UCI chess engine. Author: Arseniy Surkov    Rating Chess Engines Diary CEDR=3743 Reckless is the new star among chess engines. On the new Chess Engines Diary CEDR ranking list, Reckless is ranked 2th with a rating of 3743 . Testing of the new engine version is coming soon. Reckless 0.9.0 what's new? Reckless 0.9.0 is ready! You can download pre-built binaries for Windows, Linux, and macOS from the GitHub Releases page. Thanks to everyone who contributed through code, testing, hardware support, or any other effort. This release came together because of your help. Update highlights NNUE The neuron network has been updated to a modern threat-based architecture. It models the interactions between pieces, where one piece attacks or defends another, and extends the existing king-bucketed piece-square-based inputs with additional features. Multithreading and NUMA support NUMA (Non-Uniform Memory Access) support has been added to Reckless. Work...
Read more

We already have the new Fritz 20 program - what does it look like and how does it work?

-
Image
The purchase process for the download version on the ChessBase website took only 5 minutes. Downloading the files from the cloud was even quicker. The installation itself, which involved five large files, took maybe 7 minutes, including restarting the system and entering the serial number I received upon purchase. The start image for Fritz 20 has a strange mosaic of colors; perhaps I'll get used to it. As you can see in the second screenshot, the program interface hasn't changed much; only the icons are different (we've been using Fritz 17 until now). It looks nice, but it's no major revolution. The next two screenshots show engine management and the installation of the UCI chess engine (here, Cataphract 1.1). As you can see, there are no changes. Screenshot no. 5 shows the analysis of some position by Fritz 20 engines. The changes are minimal - it is still very legible. Finally, on screen 6 we have the engine tournament table generated by Fritz 20 . I think it is sti...
Read more