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

README.md

@@ -25,6 +25,20 @@ LLM-based generation. Do not use it commercially.
 - Serving: identical to Hopper 1.1.1, including the calibration map and the long-menu shortlist (more than 26
   options answered in two disclosed stages).
 
+## Leaderboards (official)
+
+- **[Jev Decision Index](https://huggingface.co/spaces/multimodalart/jev-decision-index)** (edition 0.2.1,
+  27 Sep 2026): **40.77, #16 of 68**, the highest of the 4B models (Decider 4B: 40.70). The row comes from a
+  complete run of the suite that we scored ourselves with the Index kit, at the maintainer's request. The model
+  outputs and scores are public at
+  [`HopitAI/hopper-g-decision-index-results`](https://huggingface.co/datasets/HopitAI/hopper-g-decision-index-results).
+  It replaced the Hopper 1.1.1 row (39.67).
+- **[JevBench](https://benchmarkheaven.com/jev-models)**: requested as a separate row
+  ([issue #112](https://github.com/fstandhartinger/jevbench/issues/112)), not yet measured. Our own development check
+  on held-out JevBench-style items (not an official score) put it level with Hopper 1.0 (+0.7 points, within noise),
+  so we make no JevBench improvement claim. Hopper 1.0's official JevBench result is 59.43, #6 of 90 ranked
+  (v1.4.2.1, 27 Sep 2026).
+
 ## Evaluation (our runs)
 
 On our local run of the Decision Index 0.2 suite (40 benchmarks, A10G, same serving code, only the adapter