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Text of the page (random words):
katago distributed training networks games contributions extra nets archives releases github katago github server log in sign up katago distributed training about this run katago is a strong open source self play trained go engine with many improvements to accelerate learning arxiv paper and further techniques since it can predict score and territory play handicap games reasonably and handle many board sizes and rules all with the same neural net this site hosts katago s first public distributed training run with the help of volunteers we are attempting to resume training from the end of katago s previous official run g170 that ended in june 2020 and see how much further we can go if would like to contribute see below updates 2026 09 15 support for versions prior to v1 18 0 has been retired thanks to all the people upgrading and community members helping optimize and test things training appears to be fast and healthy with the new transformer models and recent investigations reported in discord have indicated the transformers are probably not even as strong as they should be due training issues we re experimenting with ways to fix this that should get free further improvements 2026 08 25 now that v1 18 x is released with additional performance optimizations for transformers and some rules fixes for data generation the first transformers have been uploaded to the run and selfplay is switching to it shortly yay if you haven t upgraded to v1 18 0 or later please consider upgrading soon once enough people have upgraded over the next couple weeks we will likely disable support for contributing with older versions 2026 07 29 v1 17 0 is released this is the first official release of katago that supports transformer models which are stronger and more efficient than all the prior models see the same linked release page for download for these models once enough contributors are migrated to v1 17 0 the main run will also switch to transformers for self play as well 2026 04 08 thanks to hzyhhzy and zhizigo a new very strong large model kata1 zhizi b40c768nbt fdx6c is now available on the networks page and we are starting to use it for self play thanks and appreciation to them for training and making this model available as well the additional training data it used this data will also be mirrored on the katago data archive site here in a few days 2026 03 22 uploaded a new strong model kata1 zhizi b28c512nbt muonfd2 for rating games and general use on the networks page this model was generously trained and released by a researcher contributor hzy mostly on katago s public data with a new optimizer with support sponsorship from a company zhizigo 2025 06 04 version v1 16 2 is released compared to v1 16 0 this version has better numeric scaling that should reduce the chance for katago s nets to produce nonfinite values during contribute and produce biased data or crash with large boards or extreme komis if you are contributing with v1 16 0 please upgrade to v1 16 2 if you can 2025 05 16 disabled support for contributing using versions prior to v1 16 0 so that we can be uniformly updated to the newest data format get the new version here 2025 05 09 over the last few weeks a number of additional fun and interesting networks have been added to the extra networks page from various developers contributors including a strong large board network ideal for use with the bs50 executables in katago s v1 16 0 release supporting board sizes up to 50x50 enjoy 2025 04 22 added a new page to the site with some special extra networks not part of the main run 2025 04 10 katago v1 16 0 is released among other things this version records new training data that could be used for training experimental action value heads enabling cool future research and potential search improvements if no major bugs or other issues are discovered with this release in the next few days then we will want to have all contributors upgrade so that the official run can begin accumulating this data over the next months for research 2024 05 02 first b28 neural net uploaded this new larger neural net runs more slowly similar to the old 60 block nets but should be much stronger from tests on discord under normal usage this series of nets should be stronger than the b18 nets given equal total time despite the slower speed and be by far the strongest nets so far on a per visit basis we ve also upgraded contributing to require katago v1 14 0 or later to support this net 2023 12 28 katago v1 14 0 is released this version adds support for a new larger and hopefully stronger b28 neural net that will likely be ready within the next months it also has a large number of more minor bugfixes and changes 2023 06 13 we are upgraded now kata1 b18c384nbt s6582m is the first 18 nested block neural net with the new improved output heads you will need to be on version v1 13 0 or later to use the nets from here onward 2023 05 23 katago v1 13 0 is released supports a new version of neural nets with improved output heads for policy and error prediction and various other analysis and search and training improvements once most or all contributors upgrade we will be able to switch to the improved nets if you re an active contributor please upgrade when you can 2023 03 04 we re fully switched to v1 12 now and the first new net of the new architecture b18c384nbt has been uploaded for testing note the learning rate has been kept far higher than every other network so it might not be as strong yet as the uec version of the new net on the releases page 2023 02 18 katago is now up to version v1 12 4 with some bugfixes for training data generation once enough users are upgraded to this version and particularly off of v1 11 we can try the new improved b18 net and architecture for rating games and data generation please upgrade if you can 2023 01 07 new release of katago v1 12 0 supporting a new neural net architecture the new net b18 uec is about as strong as the 60 block nets but should be faster to run 2022 05 16 disabling support for versions older than v1 11 0 in selfplay data contribution so that we can make full use of new graph search parameters for search during selfplay 2022 03 20 katago v1 11 0 is released new graph search algorithm instead of tree search and various parameter improvements 2022 01 27 switching to 60 block net for selfplay data contribution 40 block net will continue to be trained as well on the data and be rated as well downloading katago if you simply want to run katago the latest releases are here and you can download the latest networks from here you very likely want a gui as well because the engine alone is command line only some possible guis include katrain lizzieyzy lizzie and q5go more can be found searching online how to contribute contributors are much appreciated if you d like to contribute your spare gpu cycles to generate training data for the run the steps are first create an account on this site picking a username and secure password make sure to verify your email so that the site considers your account fully active note the username you pick will be publicly visible in statistics and on the games you contribute then pick one of the following methods likely easiest method for a home desktop computer download and install katrain inside the gui menu select the option for distributed training provide the username and password for the account you created and choose a few settings then just let it run command line method if running on a remote server or have already set up katago for other things or if you want a command line that will work in the background without any gui or want slightly more flexibility to configure things download katago from the latest release edit the contribute_example cfg that came when you downloaded katago use a text editor to fill in your username password and the few different settings you want run it on the command line like katago contribute config contribute_example cfg on linux or katago exe contribute config contribute_example cfg on windows if it is working it should print out various stats as it runs including when it finishes and uploads a game either way once some games are finished you can view the results at https katagotraining org contributions scroll down and find your username if anything looks unusual or buggy about the games or katago is behaving weirdly on your machine please let us know so we can avoid uploading and training on bad data or if you encounter any error messages feel free to ask for help on katago s github or the discord chat for advanced users instead of downloading a release you can also build it from source if you do so use the stable branch not the master branch the example config can be found in cpp configs contribute_example cfg and if you re interested contribute to development via coding or have a cool idea for a tool check out either katago s github or the this website s github and or the discord chat where various devs hang out if you want to test a change that affects the distributed client and you need a test server to experiment with modified versions of katago it is available at test katagodistributed org contact lightvector or tychota in discord for a testing account stats for kata1 this run is named kata1 and began on 2020 11 28 20 23 43 utc data generation across all time 1491 distinct users have uploaded 5 235 002 685 rows of training data 103 862 672 training games and 2 112 146 rating games in the last week 55 distinct users have uploaded 53 168 767 rows of training data 914 547 new training games and 11 163 new rating games in the last 24h 33 distinct users have uploaded 7 602 573 rows of training data 130 635 new training games and 1 724 new rating games look up and view games for this run here networks a total of 955 networks have been uploaded for kata1 latest network kata1 tf3 b11c768 s12252m d6398m strongest confidently rated network kata1 tf3 b11c768 s11003m d5973m 7gres approximate elo ratings graph graph is based on about 2 112 146 rating games using mid to high hundreds of playouts ratings might still be mildly inflated due to only playing other katago nets but otherwise are fresh and unbiased and involve a variety of nets to avoid rock paper scissors vertical bars indicate approximately a 95 confidence interval graph is based on games at equal visits rather than equal compute time since the former is easier to control on widely varying user hardware larger slower networks will be advantaged due to getting more total compute time given particular hardware one can approximately correct for this by benchmarking to measure the speed difference each doubling of speed may be worth somewhere around 150 250 elo click and drag to zoom double click or click on a button to reset zoom by upload time by data rows linear by data rows log by data rows log recent approx elo given equal time rather than equal visits might not be accurate varies with hardware top contributors see here for a full list of contributors for kata1 in the last 24h user training rows training games rating games daoge 4 509 745 rows generated 77 317 training games 388 rating games luotiany 686 879 rows generated 11 735 training games 0 rating games isla 605 590 rows generated 10 463 training games 0 rating games bubblesld 438 686 rows generated 7 578 training games 109 rating games congxinzhisong 280 164 rows generated 4 899 training games 0 rating games ohestnes2 152 966 rows generated 2 659 training games 16 rating games zhanghong64 152 801 rows generated 2 635 training games 37 rating games kobe0505 124 097 rows generated 2 174 training games 41 rating games hoigin 121 956 rows generated 2 095 training games 0 rating games 蓝冰永恒 73 489 rows generated 1 252 training games 12 rating games padamski 69 190 rows generated 1 169 training games 20 rating games maxueba 51 773 rows generated 895 training games 4 rating games yangz 46 619 rows generated 796 training games 12 rating games ez4u 45 902 rows generated 795 training games 0 rating games whatever0712 44 044 rows generated 748 training games 4 rating games in the last week user training rows training games rating games daoge 32 702 729 rows generated 562 086 training games 2 629 rating games luotiany 6 506 156 rows generated 111 729 training games 0 rating games bubblesld 3 030 898 rows generated 52 234 training games 681 rating games congxinzhisong 1 954 342 rows generated 33 681 training games 0 rating games isla 1 277 490 rows generated 22 030 training games 0 rating games panep 975 649 rows generated 16 729 training games 296 rating games hoigin 946 148 rows generated 16 246 training games 0 rating games ohestnes2 926 586 rows generated 15 939 training games 68 rating games xkas 720 495 rows generated 12 348 training games 180 rating games 蓝冰永恒 474 911 rows generated 8 179 training games 124 rating games 音乐之贼 384 200 rows generated 6 817 training games 0 rating games zhanghong64 364 064 rows generated 6 312 training games 85 rating games ez4u 316 453 rows generated 5 443 training games 1 rating games yangz 292 933 rows generated 5 011 training games 52 rating games 凤鸣 279 127 rows generated 4 806 training games 0 rating games overall user training rows training games rating games yaoge123 516 781 866 rows generated 10 450 310 training games 162 545 rating games luckyangman 342 435 207 rows generated 6 418 062 training games 140 115 rating games luotiany 328 476 289 rows generated 6 704 526 training games 23 583 rating games angliu 306 245 529 rows generated 6 503 941 training games 185 252 rating games daoge 267 048 163 rows generated 4 570 699 training games 46 480 rating games 水底2022 264 920 064 rows generated 5 461 179 training games 127 379 rating games friday9i 215 077 065 rows generated 4 403 490 training games 63 252 rating games congxinzhisong 206 616 097 rows generated 3 850 309 training games 255 rating games maomaochong 154 868 811 rows generated 3 190 535 training games 57 157 rating games aiqigo 148 551 176 rows generated 2 819 086 training games 53 342 rating games bubblesld 125 150 585 rows generated 2 512 291 training games 41 432 rating games maxueba 116 136 058 rows generated 2 378 800 training games 48 487 rating games jiusi010302 111 549 344 rows generated 2 157 135 training games 32 148 rating games theonly92 96 528 605 rows generated 2 009 851 training games 33 835 rating games isla 94 161 986 rows generated 1 864 606 training games 87 088 rating games katago engine by lightvector engine license katago server by lightvector and tychota server code license privacy and data use policy neural net license additional thanks to jane street for supporting katago s earlier runs and to gogod and go4go for pro games for improving training