Card: parity wording

README.md

@@ -31,7 +31,7 @@ answered with calibrated probabilities, no text generation. Requests follow Type
 - The pointer head is `head.bin` (fp32: `q.weight`, `q.bias`, `k.weight`, `k.bias`); `kev.json` holds the
   calibration temperature, delimiter token ids and cache layout.
 
-On 318 questions from Kev's development suites, probabilities differ from the fp32 export by 0.028 on average; 16 answers change, none with a margin above 0.2 (accuracy 0.657 vs 0.664). The fp32 export of the same graph matches Kev's PyTorch fp32 path to 2e-5.
+On 318 questions from Kev's development suites, probabilities differ from the fp32 export by 0.028 on average; 16 answers change, none with a margin above 0.2 (accuracy 0.657 vs 0.664). The fp32 export of the same graph matches Kev's PyTorch fp32 path within 4e-5.
 Recipe: `training/kev-onnx` in the runonweb repo.
 
 ## Use