Card: official leaderboard results on JevBench and the Jev Decision Index, and links between Hopper and Hopper (G); weights unchanged

README.md

@@ -60,6 +60,19 @@ only, because of the RACE training-data terms described above and under "Trainin
 model is Apache-2.0 ([licence](https://huggingface.co/Qwen/Qwen3.5-4B/blob/main/LICENSE)), and this
 adapter does not change its terms.
 
+## Leaderboards (official)
+
+- **[JevBench](https://benchmarkheaven.com/jev-models)**: **59.43, #6 of 90 ranked** in v1.4.2.1 (27 Sep 2026),
+  measured by the maintainer on adapter 1.0.0: Intelligence 48.0, Calibration 79.1, Speed 86.8, Cost 58.7. It is
+  #3 in the board's Jev-class capability ranking (63.5, the mean of Intelligence and Calibration). Accuracy is
+  82.3 % on the public items and 34.1 % on the maintainer's sealed set.
+- **[Jev Decision Index](https://huggingface.co/spaces/multimodalart/jev-decision-index)**: Hopper 1.1.1 scored
+  36.71, #12 of 49 (edition 0.2, 25 Sep 2026), then 39.67, #19 of 67 (edition 0.2.1). Its row has since been replaced by
+  [Hopper (G) 1.2](https://huggingface.co/HopitAI/hopper-g), the general-purpose line served with the same code,
+  at 40.77.
+
+Both boards change as entrants are added; the live pages are authoritative.
+
 ## Intended use
 
 Hopper makes single-step policy decisions over a short document: yes/no (`noul`), choice among