\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) & 0.017393796889707252 & 15.856257760126173 & 47.0 &  &  & 3143.6395136778115 &  \\
Llama 3.1 Instruct (70B) & 0.017243798791979764 & 7.473302416548131 & 47.0 &  &  & 3143.6395136778115 &  \\
Llama 3.1 Instruct (8B) & 0.012801320599598886 & 4.592441464850494 & 47.0 &  &  & 3143.6395136778115 &  \\
DeepSeek v3 & 0.05600346188218054 & 19.198289114653523 & 47.0 &  &  & 3144.9756838905764 &  \\
Mistral Instruct v0.3 (7B) & 0.022922477324497002 & 2.248479880967763 & 47.0 &  &  & 3738.7939209726455 & 347.9720364741641 \\
Mixtral Instruct (8x22B) & 0.05974691048107065 & 3.311423482576039 & 47.0 &  &  & 3738.7939209726455 & 235.25349544072944 \\
Mixtral Instruct (8x7B) & 0.04856112586137076 & 2.206609032436707 & 47.0 &  &  & 3738.7939209726455 & 172.6699088145896 \\
Qwen2 Instruct (72B) & 0.03505258250514533 & 5.4707207153633375 & 47.0 &  &  & 3482.708206686931 & 300.34468085106386 \\
Claude 3.5 Haiku (20241022) & 0.04223303764284928 & 4.882643028305655 & 47.0 &  &  & 3122.0115501519754 & 186.7440729483283 \\
Claude 3.5 Sonnet (20241022) & 0.0421092305727365 & 6.4729631308001965 & 47.0 &  &  & 3122.0115501519754 & 234.03039513677814 \\
Gemini 1.5 Pro (002) & 0.038124804805808335 & 3.054805028329867 & 47.0 &  &  & 3353.3689969604857 &  \\
Gemini 1.5 Flash (002) & 0.04304023010856491 & 1.0817784473164103 & 47.0 &  &  & 3353.3689969604857 &  \\
GPT-4o (2024-11-20) & 0.057296646214991344 & 3.3919150716265634 & 47.0 &  &  & 3136.7890577507596 & 167.20182370820672 \\
GPT-4o mini (2024-07-18) & 0.04664884215015315 & 3.8451410967528283 & 47.0 &  &  & 3136.7890577507596 & 197.12462006079028 \\
\bottomrule
\end{tabular}}
\caption{Results for numeric_nlg (numeric_nlg)}
\label{fig:numeric_nlg (numeric_nlg)}
\end{table*}