\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) & 0.3409090909090909 & 0.4708570512858304 & 44.0 & 5.0 &  & 730.1363636363636 & 1.0 \\
Llama 2 (70B) & 0.4772727272727273 & 0.3948981328444047 & 44.0 & 5.0 &  & 730.1363636363636 & 1.0 \\
Llama 2 (7B) & 0.4090909090909091 & 0.39283609932119196 & 44.0 & 5.0 &  & 730.1363636363636 & 1.0 \\
Mixtral (8x7B 32K seqlen) & 0.45454545454545453 & 0.3318667140873996 & 44.0 & 5.0 &  & 734.0454545454545 & 1.0 \\
Phi-2 & 0.45454545454545453 & 0.31926187060096045 & 44.0 & 5.0 &  & 670.9772727272727 & 1.0 \\
Anthropic Claude 2.1 & 0.4772727272727273 & 1.6811896670948376 & 44.0 & 5.0 &  & 740.8181818181819 & 1.0 \\
PaLM-2 (Unicorn) & 0.625 & 1.110024324485234 & 112.0 & 5.0 &  & 705.9732142857143 &  \\
GPT-4 (0613) & 0.6590909090909091 & 0.4212688857858831 & 44.0 & 5.0 &  & 660.75 & 1.0 \\
\bottomrule
\end{tabular}}
\caption{Results for mmlu_subject:machine_learning (mmlu)}
\label{fig:mmlu_subject:machine_learning (mmlu)}
\end{table*}