update models

src/display/about.py

@@ -33,7 +33,7 @@ The Open CoT Leaderboard tracks the reasoning skills of LLMs, measured as their
 
 The leaderboard reports **accuracy gains** achieved by using [chain-of-thought](https://logikon.ai/docs/delib_prompting) (CoT), i.e.: _accuracy gain Δ_ = _accuracy with CoT_ — _accuracy w/o CoT_.
 
-See the "About" tab for more details and motivation.
+Detailed model-specific results can be explored with the [Open CoT Dashboard](https://huggingface.co/spaces/cot-leaderboard/open-cot-dashboard). See the "About" tab for background infos and motivation.
 """
 
 # Which evaluations are you running? how can people reproduce what you have?