\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) & 0.7727272727272727 & 0.5363348451527682 & 44.0 & 5.0 &  & 722.6590909090909 & 1.0 \\
Llama 2 (70B) & 0.8409090909090909 & 0.3997729854150252 & 44.0 & 5.0 &  & 722.6590909090909 & 1.0 \\
Llama 2 (7B) & 0.7272727272727273 & 0.35730566761710425 & 44.0 & 5.0 &  & 722.6590909090909 & 1.0 \\
Mixtral (8x7B 32K seqlen) & 0.8409090909090909 & 0.3523602377284657 & 44.0 & 5.0 &  & 714.0681818181819 & 1.0 \\
Phi-2 & 0.7954545454545454 & 0.3079182776537808 & 44.0 & 5.0 &  & 633.9772727272727 & 1.0 \\
Anthropic Claude 2.1 & 0.9090909090909091 & 1.6946426359089939 & 44.0 & 5.0 &  & 723.1590909090909 & 1.0 \\
PaLM-2 (Unicorn) & 0.9090909090909091 & 1.1039516984923812 & 121.0 & 5.0 &  & 651.6859504132232 &  \\
GPT-4 (0613) & 0.9545454545454546 & 0.4406760118224404 & 44.0 & 5.0 &  & 626.5909090909091 & 1.0 \\
\bottomrule
\end{tabular}}
\caption{Results for mmlu_subject:international_law (mmlu)}
\label{fig:mmlu_subject:international_law (mmlu)}
\end{table*}