\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) & 0.4161463231129773 & 5.2439397422821985 & 52.0 &  &  & 3486.9423076923085 &  \\
Llama 3.1 Instruct (70B) & 0.41766140118899386 & 2.2010282237348404 & 52.0 &  &  & 3486.9423076923085 &  \\
Llama 3.1 Instruct (8B) & 0.3470347504697796 & 1.7113578264529887 & 52.0 &  &  & 3486.9423076923085 &  \\
DeepSeek v3 & 0.40995703283859064 & 9.339333387390596 & 52.0 &  &  & 3499.018681318681 &  \\
Mistral Instruct v0.3 (7B) & 0.380472146944292 & 0.9899295449256897 & 52.0 &  &  & 4287.620879120879 & 112.99340659340662 \\
Mixtral Instruct (8x22B) & 0.41297711943646664 & 2.2160011379273388 & 52.0 &  &  & 4287.620879120879 & 123.00439560439557 \\
Mixtral Instruct (8x7B) & 0.36124219129216817 & 1.37107070684433 & 52.0 &  &  & 4287.620879120879 & 116.24230769230769 \\
Qwen2 Instruct (72B) & 0.42071186230406704 & 2.695490496368199 & 52.0 &  &  & 3934.6730769230776 & 127.29285714285717 \\
Claude 3.5 Haiku (20241022) & 0.34413672129140715 & 3.500152060618767 & 52.0 &  &  & 3392.4719780219784 & 126.77967032967034 \\
Claude 3.5 Sonnet (20241022) & 0.36605933664747903 & 3.5357622683703243 & 52.0 &  &  & 3392.4719780219784 & 106.67857142857144 \\
Gemini 1.5 Pro (002) & 0.3790070365526036 & 3.1767893483350567 & 52.0 &  &  & 3630.7912087912086 &  \\
Gemini 1.5 Flash (002) & 0.3411938868434184 & 0.8882846225749004 & 52.0 &  &  & 3630.7912087912086 &  \\
GPT-4o (2024-11-20) & 0.4338368929479459 & 2.433842341454475 & 52.0 &  &  & 3451.15934065934 & 102.34835164835165 \\
GPT-4o mini (2024-07-18) & 0.39737754709633755 & 2.7899276856537703 & 52.0 &  &  & 3451.15934065934 & 105.71593406593405 \\
\bottomrule
\end{tabular}}
\caption{Results for qtsumm (qtsumm)}
\label{fig:qtsumm (qtsumm)}
\end{table*}