Play it here -> https://iblunder.com/
Or challenge it on Lichess -> https://lichess.org/@/sapling-bot
Rating pool | Version | ELO |
---|---|---|
CCRL 40/15 | 1.1.2 | 3378 |
Lichess Bullet | 1.2.2 | 2890 |
Lichess Blitz | 1.2.2 | 2786 |
Lichess Rapid | 1.2.2 | 2797 |
Lichess Chess960 | 1.2.2 | 2209 |
Tournament | Version | Result |
---|---|---|
CCRL 112th Amateur Series Division 5 | 1.1.8 | drawed 3rd place |
Blitz Tournament 3'+2" (48th Edition) | 1.2.0 | Division 4 6th place |
FRC Tournament (35th Edition) | 1.2.2 | TBD |
You can browse all windows, linux or mac releases here
Avx2
, Bmi1
, Bmi2
, Popcnt
, Sse
. Most modern hardware shipped after 2013 should be supported.cd ./scripts
// Windows
./build_windows_avx256.bat
./build_windows_avx512.bat
// Linux
./build_linux_avx256.sh
./build_linux_avx512.sh
// Osx
./build_osx_avx256.sh
./build_osx_avx512.sh
quit
: exit the programsetoption name threads value 8
: sets the number of threads to useucinewgame
: initializes a new gameposition startpos
: sets the engine to the starting chess positionposition startpos moves a2a3 a7a6
: sets the engine to the starting position then applies a set of movesposition fen rnbqkbnr/pppppppp/8/8/8/8/PPPPPPPP/RNBQKBNR w KQkq - 0 1
: sets the engine to the position given by the fen stringd
: outputs a diagram of the current positiongo perft 6
: Runs a pert test to a specific depthgo depth 10
: Returns the best move after searching for the given depthgo wtime 10000 btime 10000 winc 100 binc 100
: returns the best move after searching with the given time controlgo see a2a3
: [Dev] returns a the result of static exchange evaluation for a given movego eval
: [Dev] returns the static evaluation of the current positiondatagen
: [Dev] starts generating data in the bullet format, used when training a new NNUE networkAfter any changes to the engine a SPRT test must be ran to ensure that the changes have a positive effect.
There is a script sprt.bat
which contains the command to run a cutechess-cli SPRT test. Ensure that you've configured CuteChess to point to both dev
and base
engines before hand, and also update the opening book + endgame table base to point to one on your system.
I'm in the process of training a (768x8->1024)x2-8 network starting from random weights using self play data generation and bullet trainer. Expect the engine to get much stronger as I improve the network. Check here to see the sequence of networks starting from scratch and the training logs.