GIPF Zero checkpoint

Custom PyTorch state_dict checkpoint for the GIPF Zero source. Load it with training.model.load_model.

Published public opponent: GIPF Zero — 43,869 games, trained for 43869 self-play games. Architecture: {"blocks": 2, "head": "flat", "kind": "resnet", "width": 32}.

Source training checkpoint SHA-256: aa533bb8922231a3e0dc53dd2ff947cab6899ef09a9245463c89ac99ea776ef0.

Served champion.pt artifact SHA-256: d5a7e3bda2966a79d22cf34f131976907260e679683d0e2680d935312f41c2f6.

RESULTS.md documents the controlled overnight comparison of MLP, square-CNN, hex-CNN, and query-Transformer policies, plus its separately labelled continuation evaluations. These automated results are not a human or expert rating.

Full overnight comparison and results.

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