\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) & 0.24 & 0.28615272998809815 & 100.0 & 5.0 &  & 387.97 & 1.0 \\
Gemma Instruct (7B) & 0.3 & 0.27986535549163816 & 100.0 & 5.0 &  & 387.97 & 1.0 \\
Llama 2 (13B) & 0.2857142857142857 & 0.344165081069583 & 42.0 & 5.0 &  & 401.0 & 1.0 \\
Llama 2 (70B) & 0.2857142857142857 & 0.3699369884672619 & 42.0 & 5.0 &  & 401.0 & 1.0 \\
Llama 2 (7B) & 0.2521428571428571 & 0.2961476921467554 & 71.0 & 5.0 &  & 405.325 & 1.0 \\
Mixtral (8x7B 32K seqlen) & 0.4023809523809524 & 0.30988816397530694 & 71.0 & 5.0 &  & 409.9461904761905 & 1.0 \\
Phi-2 & 0.29095238095238096 & 0.3107399789492289 & 71.0 & 5.0 &  & 379.1304761904762 & 1.0 \\
Qwen1.5 (7B) & 0.39 & 0.2627728796005249 & 100.0 & 5.0 &  & 383.19 & 1.0 \\
Yi (6B) & 0.3 & 0.29966460943222045 & 100.0 & 5.0 &  & 395.67 & 1.0 \\
Anthropic Claude Instant 1.2 & 0.33 & 0.8429116034507751 & 100.0 & 5.0 &  & 381.26 & 1.0 \\
Anthropic Claude 2.1 & 0.28714285714285714 & 1.918195248066433 & 61.333333333333336 & 5.0 &  & 419.48349206349206 & 1.0 \\
Claude 3 Sonnet (20240229) & 0.39 & 1.8704465341567993 & 100.0 & 5.0 &  & 373.26 & 1.0 \\
Claude 3 Opus (20240229) & 0.62 & 4.4627389192581175 & 100.0 & 5.0 &  & 373.26 & 1.0 \\
Gemini Pro & 0.32 & 0.9730515599250793 & 100.0 & 5.0 &  & 387.97 &  \\
PaLM-2 (Bison) & 0.39 & 0.7742284727096558 & 100.0 & 5.0 &  & 399.12 &  \\
PaLM-2 (Unicorn) & 0.51 & 1.2773328518867493 & 100.0 & 5.0 &  & 387.12 &  \\
GPT-3.5 Turbo (0613) & 0.32 & 0.444822461605072 & 100.0 & 5.0 &  & 378.44 & 1.0 \\
GPT-4 Turbo (1106 preview) & 0.62 & 0.49671109437942507 & 100.0 & 5.0 &  & 378.44 & 1.0 \\
GPT-4 (0613) & 0.5714285714285714 & 0.4118196510133289 & 42.0 & 5.0 &  & 369.9761904761905 & 1.0 \\
\bottomrule
\end{tabular}}
\caption{Results for mmlu_subject:abstract_algebra (mmlu)}
\label{fig:mmlu_subject:abstract_algebra (mmlu)}
\end{table*}