\begin{table*}[htp]
\resizebox{\textwidth}{!}{
\begin{tabular}{lrrrrrr}
\toprule
Model/adapter & EM & # eval & # train & truncated & # prompt tokens & # output tokens \\
\midrule
BioMistral (7B) & 0.589561681882837 & 181.5 &  &  & 123.8874786471465 & 1.0 \\
Meditron (7B) & 0.32020424400982345 & 181.5 &  &  & 126.9327402896969 & 1.0 \\
Llama 2 (7B) & 0.4186380790930382 & 181.5 &  &  & 126.9327402896969 & 1.0 \\
Llama 3 (70B) & 0.8416063024519881 & 181.5 &  &  & 105.14359147687344 & 1.0 \\
Mistral Instruct v0.1 (7B) & 0.544692075607928 & 181.5 &  &  & 123.8874786471465 & 1.0 \\
Mixtral (8x22B) & 0.7939187502717667 & 181.5 &  &  & 123.8874786471465 & 1.0 \\
Claude 3 Haiku (20240307) & 0.7736075804194186 & 181.5 &  &  & 118.44177475085962 & 1.0 \\
Claude 3 Sonnet (20240229) & 0.7899509128712178 & 181.5 &  &  & 118.44177475085962 & 1.0 \\
Claude 3 Opus (20240229) & 0.8688052924219013 & 181.5 &  &  & 118.44177475085962 & 1.0 \\
Gemini 1.5 Pro (0409 preview) & 0.037093058328666266 & 181.5 &  &  & 106.18307890968218 &  \\
PaLM-2 (Bison) & 0.7368934632642133 & 181.5 &  &  & 106.18307890968218 &  \\
PaLM-2 (Unicorn) & 0.8247507441757943 & 181.5 &  &  & 107.1035809711301 &  \\
MedLM (Medium) & 0.7589506732213857 & 181.5 &  &  & 107.1035809711301 &  \\
MedLM (Large) & 0.819258561278876 & 181.5 &  &  & 107.1035809711301 &  \\
GPT-3.5 Turbo (0125) & 0.727432480149834 & 181.5 &  &  & 105.19241612978608 & 1.0 \\
GPT-4 Turbo (2024-04-09) & 0.8076318437422109 & 181.5 &  &  & 105.19241612978608 & 1.0 \\
GPT-4o (2024-05-13) & 0.6941973918621467 & 181.5 &  &  & 103.76951371053264 & 1.0 \\
\bottomrule
\end{tabular}}
\caption{Results for mmlu (mmlu)}
\label{fig:mmlu (mmlu)}
\end{table*}