\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) & 0.47368421052631576 & 0.27136534766147014 & 114.0 & 5.0 &  & 638.5526315789474 & 1.0 \\
Gemma Instruct (7B) & 0.2543859649122807 & 0.26876863889526903 & 114.0 & 5.0 &  & 638.5526315789474 & 1.0 \\
Llama 2 (7B) & 0.32456140350877194 & 0.30400960487231876 & 114.0 & 5.0 &  & 696.6754385964912 & 1.0 \\
Mixtral (8x7B 32K seqlen) & 0.6228070175438597 & 0.33104314302143295 & 114.0 & 5.0 &  & 699.1754385964912 & 1.0 \\
Phi-2 & 0.3508771929824561 & 0.2779764794466788 & 114.0 & 5.0 &  & 636.0701754385965 & 1.0 \\
Qwen1.5 (7B) & 0.45614035087719296 & 0.2751412308006956 & 114.0 & 5.0 &  & 632.938596491228 & 1.0 \\
Yi (6B) & 0.35964912280701755 & 0.32449395196479663 & 114.0 & 5.0 &  & 679.7894736842105 & 1.0 \\
Anthropic Claude Instant 1.2 & 0.3684210526315789 & 1.116357355787043 & 114.0 & 5.0 &  & 630.5964912280701 & 1.0 \\
Anthropic Claude 2.1 & 0.5614035087719298 & 1.3978815350616187 & 114.0 & 5.0 &  & 630.5964912280701 & 1.0 \\
Claude 3 Sonnet (20240229) & 0.6666666666666666 & 1.8370495072582311 & 114.0 & 5.0 &  & 622.5964912280701 & 1.0 \\
Claude 3 Opus (20240229) & 0.7719298245614035 & 4.46739117095345 & 114.0 & 5.0 &  & 622.5964912280701 & 1.0 \\
Gemini & 0.5789473684210527 & 0.7309655264804238 & 114.0 & 5.0 &  & 638.5526315789474 &  \\
PaLM-2 (Bison) & 0.5087719298245614 & 1.019343238127859 & 114.0 & 5.0 &  & 656.3947368421053 &  \\
PaLM-2 (Unicorn) & 0.6491228070175439 & 0.8350292967076887 & 114.0 & 5.0 &  & 656.3947368421053 &  \\
GPT-3.5 Turbo (0613) & 0.5 & 0.4066693531839471 & 114.0 & 5.0 &  & 619.4298245614035 & 1.0 \\
GPT-4 Turbo (1106 preview) & 0.7105263157894737 & 0.5296852944190042 & 114.0 & 5.0 &  & 619.4298245614035 & 1.0 \\
\bottomrule
\end{tabular}}
\caption{Results for mmlu_subject:econometrics (mmlu)}
\label{fig:mmlu_subject:econometrics (mmlu)}
\end{table*}