\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) & 0.4090909090909091 & 0.7904581481760199 & 44.0 & 5.0 &  & 1350.9318181818182 & 1.0 \\
Llama 2 (70B) & 0.7045454545454546 & 0.48417076197537506 & 44.0 & 5.0 &  & 1350.9318181818182 & 1.0 \\
Llama 2 (7B) & 0.6136363636363636 & 0.5126142230900851 & 44.0 & 5.0 &  & 1350.9318181818182 & 1.0 \\
Mixtral (8x7B 32K seqlen) & 0.7727272727272727 & 0.5688095417889681 & 44.0 & 5.0 &  & 1298.1818181818182 & 1.0 \\
Phi-2 & 0.5454545454545454 & 0.3407876491546631 & 44.0 & 5.0 &  & 1134.2954545454545 & 1.0 \\
Anthropic Claude 2.1 & 0.8409090909090909 & 2.160353265025399 & 44.0 & 5.0 &  & 1205.0 & 1.0 \\
PaLM-2 (Unicorn) & 0.8492647058823529 & 1.0875138991019304 & 272.0 & 5.0 &  & 1104.6139705882354 &  \\
GPT-4 (0613) & 0.9545454545454546 & 0.5250233249230818 & 44.0 & 5.0 &  & 1104.3181818181818 & 1.0 \\
\bottomrule
\end{tabular}}
\caption{Results for mmlu_subject:professional_medicine (mmlu)}
\label{fig:mmlu_subject:professional_medicine (mmlu)}
\end{table*}