\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 & 0.3704378008842468 & 44.0 & 5.0 &  & 488.65909090909093 & 1.0 \\
Llama 2 (70B) & 0.6818181818181818 & 0.3865005807443099 & 44.0 & 5.0 &  & 488.65909090909093 & 1.0 \\
Llama 2 (7B) & 0.45454545454545453 & 0.3171288858760487 & 44.0 & 5.0 &  & 488.65909090909093 & 1.0 \\
Mixtral (8x7B 32K seqlen) & 0.75 & 0.3466793623837558 & 44.0 & 5.0 &  & 488.29545454545456 & 1.0 \\
Phi-2 & 0.5227272727272727 & 0.32222332737662573 & 44.0 & 5.0 &  & 425.27272727272725 & 1.0 \\
Anthropic Claude 2.1 & 0.7727272727272727 & 1.508300163529136 & 44.0 & 5.0 &  & 495.40909090909093 & 1.0 \\
PaLM-2 (Unicorn) & 0.8037735849056604 & 0.9543584787620688 & 265.0 & 5.0 &  & 394.76981132075474 &  \\
GPT-4 (0613) & 0.8409090909090909 & 0.5105803392150186 & 44.0 & 5.0 &  & 392.22727272727275 & 1.0 \\
\bottomrule
\end{tabular}}
\caption{Results for mmlu_subject:clinical_knowledge (mmlu)}
\label{fig:mmlu_subject:clinical_knowledge (mmlu)}
\end{table*}