\begin{table*}[htp]
\resizebox{\textwidth}{!}{
\begin{tabular}{lrrrrrrr}
\toprule
Model & BLEU & Observed inference time (s) & # eval & # train & truncated & # prompt tokens & # output tokens \\
\midrule
Llama 3.1 Instruct (405B) & 0.013581669617107824 & 17.676794736943343 & 47.0 &  &  & 3105.6395136778115 &  \\
Llama 3.1 Instruct (70B) & 0.015914440227063 & 7.459384892124537 & 47.0 &  &  & 3105.6395136778115 &  \\
Llama 3.1 Instruct (8B) & 0.013317762682131615 & 4.668394575752952 & 47.0 &  &  & 3105.6395136778115 &  \\
Mistral Instruct v0.3 (7B) & 0.01974626486721215 & 4.506592315888333 & 47.0 &  &  & 3698.7939209726455 & 468.5890577507598 \\
Mixtral Instruct (8x22B) & 0.054970865926713054 & 3.6158475545401996 & 47.0 &  &  & 3698.7939209726455 & 246.4285714285714 \\
Mixtral Instruct (8x7B) & 0.04150705890290962 & 2.8386274062391474 & 47.0 &  &  & 3698.7939209726455 & 226.97689969604863 \\
Qwen2 Instruct (72B) & 0.025694000454337607 & 6.633745721480768 & 47.0 &  &  & 3444.708206686931 & 370.69057750759873 \\
Claude 3.5 Haiku (20241022) & 0.03991142926955138 & 4.707854415870365 & 47.0 &  &  & 3082.0115501519754 & 181.81823708206687 \\
Claude 3.5 Sonnet (20241022) & 0.03969333862504719 & 5.850016102747353 & 47.0 &  &  & 3082.0115501519754 & 260.7282674772036 \\
GPT-4o (2024-11-20) & 0.05402820126118975 & 2.6150744564265103 & 47.0 &  &  & 3098.7890577507596 & 190.277811550152 \\
GPT-4o mini (2024-07-18) & 0.04697034686586249 & 3.6823514871684253 & 47.0 &  &  & 3098.7890577507596 & 199.45045592705165 \\
\bottomrule
\end{tabular}}
\caption{Results for numeric_nlg (numeric_nlg)}
\label{fig:numeric_nlg (numeric_nlg)}
\end{table*}