\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) & 0.5208333333333334 & 0.36002038419246674 & 48.0 & 5.0 &  & 497.0 & 1.0 \\
Llama 2 (70B) & 0.6875 & 0.38552264372507733 & 48.0 & 5.0 &  & 497.0 & 1.0 \\
Llama 2 (7B) & 0.3958333333333333 & 0.33683863778909046 & 48.0 & 5.0 &  & 497.0 & 1.0 \\
Mixtral (8x7B 32K seqlen) & 0.6875 & 0.3451182693243027 & 48.0 & 5.0 &  & 500.75 & 1.0 \\
Phi-2 & 0.5416666666666666 & 0.31458841264247894 & 48.0 & 5.0 &  & 429.2291666666667 & 1.0 \\
Anthropic Claude 2.1 & 0.75 & 1.4952550480763118 & 48.0 & 5.0 &  & 501.125 & 1.0 \\
PaLM-2 (Unicorn) & 0.7724137931034483 & 1.0639554155283961 & 145.0 & 5.0 &  & 480.5241379310345 &  \\
GPT-4 (0613) & 0.7916666666666666 & 0.37979364891846973 & 48.0 & 5.0 &  & 432.625 & 1.0 \\
\bottomrule
\end{tabular}}
\caption{Results for mmlu_subject:electrical_engineering (mmlu)}
\label{fig:mmlu_subject:electrical_engineering (mmlu)}
\end{table*}