\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) & 0.5627368421052632 & 0.2797573038653324 & 102.8 & 5.0 &  & 485.5305263157895 & 1.0 \\
Gemma Instruct (7B) & 0.24087719298245616 & 0.274129916057252 & 102.8 & 5.0 &  & 485.5305263157895 & 1.0 \\
Llama 2 (7B) & 0.42891228070175436 & 0.2934930425526803 & 102.8 & 5.0 &  & 534.5470877192982 & 1.0 \\
Mixtral (8x7B 32K seqlen) & 0.662561403508772 & 0.31961124081360665 & 102.8 & 5.0 &  & 535.0910877192983 & 1.0 \\
Phi-2 & 0.5161754385964912 & 0.27674917314763653 & 102.8 & 5.0 &  & 484.2740350877192 & 1.0 \\
Qwen1.5 (7B) & 0.5752280701754386 & 0.2846602160888806 & 102.8 & 5.0 &  & 482.8357192982456 & 1.0 \\
Yi (6B) & 0.5359298245614035 & 0.31523977759846467 & 102.8 & 5.0 &  & 514.6538947368421 & 1.0 \\
Anthropic Claude Instant 1.2 & 0.5636842105263158 & 0.9534472175982959 & 102.8 & 5.0 &  & 489.747298245614 & 1.0 \\
Anthropic Claude 2.1 & 0.44628070175438594 & 1.3456612331407114 & 102.8 & 5.0 &  & 489.747298245614 & 1.0 \\
Claude 3 Sonnet (20240229) & 0.6673333333333333 & 1.7635572927709213 & 102.8 & 5.0 &  & 481.747298245614 & 1.0 \\
Claude 3 Opus (20240229) & 0.7443859649122808 & 4.461309088129745 & 102.8 & 5.0 &  & 481.747298245614 & 1.0 \\
Gemini & 0.6217894736842104 & 0.6284155975141024 & 102.8 & 5.0 &  & 485.5305263157895 &  \\
PaLM-2 (Bison) & 0.6137543859649124 & 0.8200095043684307 & 102.8 & 5.0 &  & 497.98694736842106 &  \\
PaLM-2 (Unicorn) & 0.6798245614035088 & 1.2176162733697056 & 102.8 & 5.0 &  & 497.98694736842106 &  \\
GPT-3.5 Turbo (0613) & 0.6020000000000001 & 0.4067078139656469 & 102.8 & 5.0 &  & 472.71996491228066 & 1.0 \\
GPT-4 Turbo (1106 preview) & 0.7321052631578946 & 0.5077516302644162 & 102.8 & 5.0 &  & 472.71996491228066 & 1.0 \\
\bottomrule
\end{tabular}}
\caption{Results for mmlu (mmlu)}
\label{fig:mmlu (mmlu)}
\end{table*}