\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) & 0.1292812575426087 & 5.828722149205727 & 73.0 &  &  & 3572.4403706688154 &  \\
Llama 3.1 Instruct (70B) & 0.23277393677108563 & 1.4544384274230777 & 73.0 &  &  & 3561.3232876712327 &  \\
Llama 3.1 Instruct (8B) & 0.02093480857029946 & 2.845470235058213 & 73.0 &  &  & 3561.3232876712327 &  \\
Mistral Instruct v0.3 (7B) & 0.07281606346533108 & 1.8431657459541828 & 73.0 &  &  & 4474.137389202256 & 72.89000805801773 \\
Mixtral Instruct (8x22B) & 0.16851879826405436 & 2.3353960125990016 & 73.0 &  &  & 4474.137389202256 & 92.1116035455278 \\
Mixtral Instruct (8x7B) & 0.05030154363627659 & 1.7195386017262215 & 73.0 &  &  & 4474.137389202256 & 123.33239323126509 \\
Qwen2 Instruct (72B) & 0.2424679367110058 & 1.6748373420737726 & 73.0 &  &  & 4223.778082191783 & 11.809393346379645 \\
Claude 3.5 Haiku (20241022) & 0.03874729541384333 & 3.1474682281902973 & 73.0 &  &  & 3363.8924254633357 & 125.00926672038679 \\
Claude 3.5 Sonnet (20241022) & 0.04934079647861775 & 2.7710964385777306 & 73.0 &  &  & 3363.8924254633357 & 95.40773569701851 \\
GPT-4o (2024-11-20) & 0.38929692885986417 & 0.6017049137160271 & 73.0 &  &  & 3533.85675146771 & 17.812133072407043 \\
GPT-4o mini (2024-07-18) & 0.23682913165266103 & 0.567422073853775 & 73.0 &  &  & 3545.185737308622 & 6.407332796132151 \\
\bottomrule
\end{tabular}}
\caption{Results for tablebench_numerical_reasoning (tablebench_numerical_reasoning)}
\label{fig:tablebench_numerical_reasoning (tablebench_numerical_reasoning)}
\end{table*}