\begin{table*}[htp]
\resizebox{\textwidth}{!}{
\begin{tabular}{lrrrrrrr}
\toprule
Model/adapter & EM & Observed inference time (s) & # eval & # train & truncated & # prompt tokens & # output tokens \\
\midrule
Gemma (7B) & 0.88 & 0.2844899868965149 & 100.0 & 5.0 &  & 442.2 & 1.0 \\
Gemma Instruct (7B) & 0.29 & 0.2597520995140076 & 100.0 & 5.0 &  & 442.2 & 1.0 \\
Llama 2 (7B) & 0.65 & 0.2887767219543457 & 100.0 & 5.0 &  & 491.81 & 1.0 \\
Mixtral (8x7B 32K seqlen) & 0.93 & 0.34373082876205446 & 100.0 & 5.0 &  & 485.19 & 1.0 \\
Phi-2 & 0.78 & 0.28353949546813967 & 100.0 & 5.0 &  & 445.12 & 1.0 \\
Qwen1.5 (7B) & 0.85 & 0.3014155149459839 & 100.0 & 5.0 &  & 433.16 & 1.0 \\
Yi (6B) & 0.87 & 0.32152209281921384 & 100.0 & 5.0 &  & 470.53 & 1.0 \\
Anthropic Claude Instant 1.2 & 0.9 & 0.8295096683502198 & 100.0 & 5.0 &  & 466.25 & 1.0 \\
Anthropic Claude 2.1 & 0.52 & 1.1599264645576477 & 100.0 & 5.0 &  & 466.25 & 1.0 \\
Claude 3 Sonnet (20240229) & 0.96 & 1.6285528326034546 & 100.0 & 5.0 &  & 458.25 & 1.0 \\
Claude 3 Opus (20240229) & 0.89 & 4.53159328699112 & 100.0 & 5.0 &  & 458.25 & 1.0 \\
Gemini & 0.9 & 0.5395235586166381 & 100.0 & 5.0 &  & 442.2 &  \\
PaLM-2 (Bison) & 0.9 & 0.765197811126709 & 100.0 & 5.0 &  & 452.48 &  \\
PaLM-2 (Unicorn) & 0.92 & 1.3936432957649232 & 100.0 & 5.0 &  & 452.48 &  \\
GPT-3.5 Turbo (0613) & 0.87 & 0.40241742610931397 & 100.0 & 5.0 &  & 427.79 & 1.0 \\
GPT-4 Turbo (1106 preview) & 0.94 & 0.5122368717193604 & 100.0 & 5.0 &  & 427.79 & 1.0 \\
\bottomrule
\end{tabular}}
\caption{Results for mmlu_subject:us_foreign_policy (mmlu)}
\label{fig:mmlu_subject:us_foreign_policy (mmlu)}
\end{table*}