\begin{table*}[htp]
\resizebox{\textwidth}{!}{
\begin{tabular}{lrrrrrr}
\toprule
Model/adapter & EM & # eval & # train & truncated & # prompt tokens & # output tokens \\
\midrule
BioMistral (7B) & 0.5037037037037037 & 135.0 &  &  & 90.08888888888889 & 1.0 \\
Meditron (7B) & 0.31851851851851853 & 135.0 &  &  & 91.13333333333334 & 1.0 \\
Llama 2 (7B) & 0.3851851851851852 & 135.0 &  &  & 91.13333333333334 & 1.0 \\
Llama 3 (70B) & 0.7851851851851852 & 135.0 &  &  & 75.87407407407407 & 1.0 \\
Mistral Instruct v0.1 (7B) & 0.45925925925925926 & 135.0 &  &  & 90.08888888888889 & 1.0 \\
Mixtral (8x22B) & 0.7333333333333333 & 135.0 &  &  & 90.08888888888889 & 1.0 \\
Claude 3 Haiku (20240307) & 0.7037037037037037 & 135.0 &  &  & 89.8 & 1.0 \\
Claude 3 Sonnet (20240229) & 0.7037037037037037 & 135.0 &  &  & 89.8 & 1.0 \\
Claude 3 Opus (20240229) & 0.7481481481481481 & 135.0 &  &  & 89.8 & 1.0 \\
Gemini 1.5 Pro (0409 preview) & 0.037037037037037035 & 135.0 &  &  & 74.35555555555555 &  \\
PaLM-2 (Bison) & 0.6814814814814815 & 135.0 &  &  & 74.35555555555555 &  \\
PaLM-2 (Unicorn) & 0.7407407407407407 & 135.0 &  &  & 75.08888888888889 &  \\
MedLM (Medium) & 0.7111111111111111 & 135.0 &  &  & 75.08888888888889 &  \\
MedLM (Large) & 0.6666666666666666 & 135.0 &  &  & 75.08888888888889 &  \\
GPT-3.5 Turbo (0125) & 0.6518518518518519 & 135.0 &  &  & 75.97777777777777 & 1.0 \\
GPT-4 Turbo (2024-04-09) & 0.7111111111111111 & 135.0 &  &  & 75.97777777777777 & 1.0 \\
GPT-4o (2024-05-13) & 0.8814814814814815 & 135.0 &  &  & 81.6 & 1.0 \\
\bottomrule
\end{tabular}}
\caption{Results for mmlu_subject:anatomy (mmlu)}
\label{fig:mmlu_subject:anatomy (mmlu)}
\end{table*}