\begin{table*}[htp]
\resizebox{\textwidth}{!}{
\begin{tabular}{lrrrrrrr}
\toprule
Model/adapter & EM & Observed inference time (s) & # eval & # train & truncated & # prompt tokens & # output tokens \\
\midrule
Llama 2 (13B) & 0.45454545454545453 & 0.4510860063812949 & 44.0 & 5.0 &  & 756.8181818181819 & 1.0 \\
Llama 2 (70B) & 0.4772727272727273 & 0.4069863232699307 & 44.0 & 5.0 &  & 756.8181818181819 & 1.0 \\
Llama 2 (7B) & 0.29545454545454547 & 0.38934587890451605 & 44.0 & 5.0 &  & 756.8181818181819 & 1.0 \\
Mixtral (8x7B 32K seqlen) & 0.4772727272727273 & 0.3193991780281067 & 44.0 & 5.0 &  & 745.7727272727273 & 1.0 \\
Phi-2 & 0.29545454545454547 & 0.3068309480493719 & 44.0 & 5.0 &  & 664.8636363636364 & 1.0 \\
Anthropic Claude 2.1 & 0.5681818181818182 & 2.2656918276440012 & 44.0 & 5.0 &  & 742.2954545454545 & 1.0 \\
PaLM-2 (Unicorn) & 0.5620111731843576 & 0.9677273009742439 & 895.0 & 5.0 &  & 687.5664804469274 &  \\
GPT-4 (0613) & 0.8181818181818182 & 0.4518181790005077 & 44.0 & 5.0 &  & 649.8181818181819 & 1.0 \\
\bottomrule
\end{tabular}}
\caption{Results for mmlu_subject:moral_scenarios (mmlu)}
\label{fig:mmlu_subject:moral_scenarios (mmlu)}
\end{table*}