![]() This will reduce GPU memory usage without any negative impact on playing strength. If you’re getting out of memory errors when using large networks on GPU, pick the next best network in the list or try adding -backend-opts=max_batch=256 to LC0 command (or UCI option: BackendOptions: max_batch=256), default: 1024. The larger 768x15 network is comparable in architecture with networks in current training run1. T1/T2 networks above are contributed by masterkni6. ![]() In use cases with very low calculation time per move or slow hardware, a smaller network might be a better choice. In general, for game analysis and long calculation time per move, the largest network compatible with your hardware is recommended. ![]() Training and Testing a Net on Google Colab: Beginner Friendly Guide.Technical Explanation of Leela Chess Zero.Script for testing new nets versus old nets on Google Colab.Running Leela Chess Zero on Intel CPUs (Haswell or later).Running Leela Chess Zero as a Lichess Bot.Running lczero with cuda and cudnn under nvidia docker2.Running lc0 on Android with a chess GUI.Running lc0 on Android with a Chess App.Run Leela Chess Zero client on a Tesla T4 GPU for free (Google Colaboratory).Run Leela Chess Zero client on a Tesla K80 GPU for free (Google Colaboratory).Large Elo fluctuations starting from ID253.Beginner Friendly Guide on Training and Testing a Net on Google Colab.
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