\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) & 0.5957446808510638 & 0.7334293152423615 & 47.0 & 5.0 &  & 1370.2340425531916 & 1.0 \\
Llama 2 (70B) & 0.8297872340425532 & 0.44882616083672705 & 47.0 & 5.0 &  & 1370.2340425531916 & 1.0 \\
Llama 2 (7B) & 0.5319148936170213 & 0.4767297430241362 & 47.0 & 5.0 &  & 1370.2340425531916 & 1.0 \\
Mixtral (8x7B 32K seqlen) & 0.7872340425531915 & 0.3747144658514794 & 47.0 & 5.0 &  & 1308.2978723404256 & 1.0 \\
Phi-2 & 0.723404255319149 & 0.363350954461605 & 47.0 & 5.0 &  & 1190.2553191489362 & 1.0 \\
Anthropic Claude 2.1 & 0.8936170212765957 & 2.112119938464875 & 47.0 & 5.0 &  & 1302.404255319149 & 1.0 \\
PaLM-2 (Unicorn) & 0.8285714285714286 & 1.2542338507516044 & 245.0 & 5.0 &  & 1185.8 &  \\
GPT-4 (0613) & 0.9148936170212766 & 0.46970109229392193 & 47.0 & 5.0 &  & 1151.3617021276596 & 1.0 \\
\bottomrule
\end{tabular}}
\caption{Results for mmlu_subject:security_studies (mmlu)}
\label{fig:mmlu_subject:security_studies (mmlu)}
\end{table*}