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Download MODEL_CARD.md from wuschelschulz/gipf-zero: direct link, hf CLI and curl.
- Browser
- Download file 722 Bytes
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https://huggingface.co/wuschelschulz/gipf-zero/resolve/main/MODEL_CARD.md
- Command line
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hf download hf://wuschelschulz/gipf-zero/MODEL_CARD.md
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curl -L -o MODEL_CARD.md https://huggingface.co/wuschelschulz/gipf-zero/resolve/main/MODEL_CARD.md
722 Bytes
GIPF Zero checkpoint
Custom PyTorch state_dict checkpoint for the GIPF Zero source. Load with training.model.load_model.
Source SHA-256: aa533bb8922231a3e0dc53dd2ff947cab6899ef09a9245463c89ac99ea776ef0.
Evaluation evidence: [{"report": "reports/final/20260909T191906Z/final-vs-champion-duel.json", "opponent": "/workspace/gipf/checkpoints/final/20260909T191906Z/champion-before-final-a9b830a90847.pt", "wins": 51, "losses": 29, "cutoffs": 0, "unfinished": 0}, {"report": "reports/final/20260909T191906Z/final-vs-greedy.json", "opponent": "greedy", "wins": 40, "losses": 0, "cutoffs": 0, "unfinished": 0}]. These are engine-baseline results, not a human or expert rating.