Maia3 launch#265
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The maia3 value head is trained with target = self_wins + 1, mapping loss=0, draw=1, win=2. The processOutputsMaia3 function incorrectly treated index 0 as win instead of loss, producing inverted evaluations. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
No frontend code changes needed — onnxruntime handles fp16 internally with float32 I/O. Max logit diff vs fp32 is 0.04 (negligible). Bump model version to '3' to force re-download of cached models. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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