\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) & 0.41195900517044076 & 5.562434273761708 & 52.0 &  &  & 3437.6445054945057 &  \\
Llama 3.1 Instruct (70B) & 0.4147218802350136 & 2.447730728820131 & 52.0 &  &  & 3437.6445054945057 &  \\
Llama 3.1 Instruct (8B) & 0.34287370618814644 & 1.8084831020334267 & 52.0 &  &  & 3437.6445054945057 &  \\
Mistral Instruct v0.3 (7B) & 0.3782297257166106 & 2.8161992929793978 & 52.0 &  &  & 4233.212087912088 & 120.15274725274729 \\
Mixtral Instruct (8x22B) & 0.4101195558280397 & 2.6241197157692127 & 52.0 &  &  & 4233.212087912088 & 128.79560439560436 \\
Mixtral Instruct (8x7B) & 0.37291168621584403 & 2.5247108876050177 & 52.0 &  &  & 4233.212087912088 & 134.9956043956044 \\
Qwen2 Instruct (72B) & 0.41227642014096616 & 3.0907022118568412 & 52.0 &  &  & 3884.7571428571437 & 135.53296703296704 \\
Claude 3.5 Haiku (20241022) & 0.31676961163876893 & 3.648706715578562 & 52.0 &  &  & 3339.2879120879124 & 155.5 \\
Claude 3.5 Sonnet (20241022) & 0.3535018500390194 & 3.335673967560569 & 52.0 &  &  & 3339.2879120879124 & 127.46813186813195 \\
GPT-4o (2024-11-20) & 0.40985125063093547 & 1.8432122044510895 & 52.0 &  &  & 3401.7582417582416 & 143.782967032967 \\
GPT-4o mini (2024-07-18) & 0.38586473894351664 & 3.212718227800432 & 52.0 &  &  & 3401.7582417582416 & 149.75604395604395 \\
\bottomrule
\end{tabular}}
\caption{Results for qtsumm (qtsumm)}
\label{fig:qtsumm (qtsumm)}
\end{table*}