This repo contains the network used on the LeelaQueenOdds Bot on Lichess, which you can download here lqo_v2.pb.gz.
Moreover, it also contains a customizable script that can be used to generate games to train your own odds-network. It supports various engine parameters, node limiting, opening books in FEN format, and automatic Dropbox file uploads. I also provided the configs and resulting training data used for networks v1 and v2.
Download the v2 network from here and install it by following the instructions here. Make sure to limit the node count of this network to a maximum of 1000 nodes or lower to avoid that the net searches for positions that a human will be unlikely to find, making it less effective at playing odds games. Based on some tests against maia-2200 we set the node limit on the lichess bot to 800.
The net has only been trained to play good as white, and that the queen-odds position, with the queen removed from d1, is equal.
Optional: If you want to play it as white, you will have to compile the lc0 version with the color swap option.
Detailed instructions on how to train your own odds-network can be found here.
This project wouldn't be possible without the help from these people and projects:
- The Leela Chess Zero Engine
- Marcogio9 who made the initial KnightOdds Network, inspired me to train my own queen-odds-net, and helped me a lot by providing me both the right engine configs to create the games, as well as the right training config, and answering any questions I had to be able to finish this project
- Naphthalin and Hissha who answered any questions I had on the Leela Chess Zero discord server and helped me evaluate this network as well as find the right settings
- Maia1900, the human-like chess network used to create training data for this net
- Maia2200 from CallOn84 used for testing the network
- python-chess used for generating games with the script
- Chris Whittington for the Queen Odds opening book
This project is licensed under the GNU AGPLv3 License, which you can read here: LICENSE.