\begin{table*}[htp]
\resizebox{\textwidth}{!}{
\begin{tabular}{lrrrrrrr}
\toprule
Model & ROUGE-L & Observed inference time (s) & # eval & # train & truncated & # prompt tokens & # output tokens \\
\midrule
Llama 3.1 Instruct (405B) & 0.18374703010416252 & 7.16633508078906 & 70.0 &  &  & 4187.3877551020405 &  \\
Llama 3.1 Instruct (70B) & 0.3000211548509206 & 1.775889611166633 & 70.0 &  &  & 4187.3877551020405 &  \\
Llama 3.1 Instruct (8B) & 0.07091119030541981 & 3.4341909921567697 & 70.0 &  &  & 4187.3877551020405 &  \\
Mistral Instruct v0.3 (7B) & 0.16098508003563083 & 2.1881751539269274 & 70.0 &  &  & 5402.540000000001 & 128.46204081632652 \\
Mixtral Instruct (8x22B) & 0.1659404644711208 & 3.498515106999145 & 70.0 &  &  & 5402.540000000001 & 129.44816326530614 \\
Mixtral Instruct (8x7B) & 0.15844197791458556 & 3.01390348638807 & 70.0 &  &  & 5402.540000000001 & 117.13877551020407 \\
Qwen2 Instruct (72B) & 0.2490655399296624 & 2.499562847760259 & 70.0 &  &  & 5166.875918367347 & 61.405306122448984 \\
Claude 3.5 Haiku (20241022) & 0.11691553666316139 & 3.643230357948614 & 70.0 &  &  & 3908.258775510203 & 130.25551020408167 \\
Claude 3.5 Sonnet (20241022) & 0.13196453432450533 & 3.3197759598128656 & 70.0 &  &  & 3908.258775510203 & 104.345306122449 \\
GPT-4o (2024-11-20) & 0.2966775732525365 & 0.8589584695076454 & 70.0 &  &  & 4150.468163265307 & 45.81999999999999 \\
GPT-4o mini (2024-07-18) & 0.24694374516515438 & 1.4290929236703993 & 70.0 &  &  & 4150.468163265307 & 58.624489795918365 \\
\bottomrule
\end{tabular}}
\caption{Results for tablebench_data_analysis (tablebench_data_analysis)}
\label{fig:tablebench_data_analysis (tablebench_data_analysis)}
\end{table*}