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Leelenstein is a neural-network engine based on Lc0. But instead of self-play, it uses a net trained on select high-level engine games (“supervised learning”). It's training also included techniques such as squeeze excitation and learning rate schedulers. Leelenstein also includes non-Zero enhancements to the Lc0 binary, such as a trade penalty and mate scoring.