\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 (7B) & 0.29 & 0.2816541409492493 & 100.0 & 5.0 &  & 409.65 & 1.0 \\
Mixtral (8x7B 32K seqlen) & 0.4 & 0.3009379529953003 & 100.0 & 5.0 &  & 414.44 & 1.0 \\
Phi-2 & 0.32 & 0.2711219882965088 & 100.0 & 5.0 &  & 383.38 & 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 & 0.29 & 1.4279474997520447 & 100.0 & 5.0 &  & 381.26 & 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 & 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) & 0.47 & 1.2322469472885131 & 100.0 & 5.0 &  & 399.12 &  \\
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 \\
\bottomrule
\end{tabular}}
\caption{Results for mmlu_subject:abstract_algebra (mmlu)}
\label{fig:mmlu_subject:abstract_algebra (mmlu)}
\end{table*}