Card metadata: results sourced from the official GIFT-Eval, fev-bench and TIME leaderboards

README.md

@@ -29,8 +29,8 @@ model-index:
       type: crps
       value: 0.4683
     source:
-      name: GIFT-Eval (scored with the benchmark code)
-      url: https://github.com/SalesforceAIResearch/gift-eval
+      name: GIFT-Eval leaderboard
+      url: https://huggingface.co/spaces/Salesforce/GIFT-Eval
   - task:
       type: time-series-forecasting
     dataset:
@@ -46,6 +46,21 @@ model-index:
     source:
       name: fev-bench leaderboard
       url: https://huggingface.co/spaces/autogluon/fev-bench
+  - task:
+      type: time-series-forecasting
+    dataset:
+      name: TIME
+      type: Real-TSF/TIME
+    metrics:
+    - name: MASE (relative to Seasonal Naive)
+      type: mase
+      value: 0.6473
+    - name: CRPS (relative to Seasonal Naive)
+      type: crps
+      value: 0.5426
+    source:
+      name: TIME leaderboard
+      url: https://huggingface.co/spaces/Real-TSF/TIME-leaderboard
 ---
 
 <p align="center">
@@ -97,7 +112,7 @@ width="720" />
 The place of Simons-297M and four widely used models on each benchmark. On
 GIFT-Eval, fev-bench and TIME the places are among the open-weight entries, from the snapshots used
 for this release (GIFT-Eval: October 30, 2026).
-The four Simons models are listed on the official [TIME leaderboard](https://huggingface.co/spaces/Real-TSF/TIME-leaderboard).
+Simons is on the official [GIFT-Eval](https://huggingface.co/spaces/Salesforce/GIFT-Eval), [fev-bench](https://huggingface.co/spaces/autogluon/fev-bench) and [TIME](https://huggingface.co/spaces/Real-TSF/TIME-leaderboard) leaderboards.
 
 ### Efficiency