\begin{table*}[htp]
\resizebox{\textwidth}{!}{
\begin{tabular}{lrrrrrr}
\toprule
Model/adapter & EM & # eval & # train & truncated & # prompt tokens & # output tokens \\
\midrule
BioMistral (7B) & 0.67 & 100.0 &  &  & 82.71 & 1.0 \\
Meditron (7B) & 0.41 & 100.0 &  &  & 84.14 & 1.0 \\
Llama 2 (7B) & 0.45 & 100.0 &  &  & 84.14 & 1.0 \\
Llama 3 (70B) & 0.88 & 100.0 &  &  & 68.99 & 1.0 \\
Mistral Instruct v0.1 (7B) & 0.59 & 100.0 &  &  & 82.71 & 1.0 \\
Mixtral (8x22B) & 0.86 & 100.0 &  &  & 82.71 & 1.0 \\
Claude 3 Haiku (20240307) & 0.82 & 100.0 &  &  & 80.88 & 1.0 \\
Claude 3 Sonnet (20240229) & 0.77 & 100.0 &  &  & 80.88 & 1.0 \\
Claude 3 Opus (20240229) & 0.9 & 100.0 &  &  & 80.88 & 1.0 \\
Gemini 1.5 Pro (0409 preview) & 0.03 & 100.0 &  &  & 70.89 &  \\
PaLM-2 (Bison) & 0.77 & 100.0 &  &  & 70.89 &  \\
PaLM-2 (Unicorn) & 0.86 & 100.0 &  &  & 71.69 &  \\
MedLM (Medium) & 0.8 & 100.0 &  &  & 71.69 &  \\
MedLM (Large) & 0.86 & 100.0 &  &  & 71.69 &  \\
GPT-3.5 Turbo (0125) & 0.78 & 100.0 &  &  & 69.0 & 1.0 \\
GPT-4 Turbo (2024-04-09) & 0.85 & 100.0 &  &  & 69.0 & 1.0 \\
GPT-4o (2024-05-13) & 0.82 & 100.0 &  &  & 68.23 & 1.0 \\
\bottomrule
\end{tabular}}
\caption{Results for mmlu_subject:medical_genetics (mmlu)}
\label{fig:mmlu_subject:medical_genetics (mmlu)}
\end{table*}