\begin{table*}[htp]
\resizebox{\textwidth}{!}{
\begin{tabular}{lrrrrrrr}
\toprule
Model & Micro F1 & Observed inference time (s) & # eval & # train & truncated & # prompt tokens & # output tokens \\
\midrule
Llama 3.1 Instruct (405B) & 0.7740349679515777 & 4.218391811556931 & 41.0 &  &  & 3593.2236933797903 &  \\
Llama 3.1 Instruct (70B) & 0.7878533891367506 & 1.2749907392242645 & 41.0 &  &  & 3593.2236933797903 &  \\
Llama 3.1 Instruct (8B) & 0.15708729209722094 & 3.318177656512643 & 41.0 &  &  & 3593.2236933797903 &  \\
Mistral Instruct v0.3 (7B) & 0.3695638078297763 & 1.6989465622121038 & 41.0 &  &  & 4200.536585365853 & 59.62439024390244 \\
Mixtral Instruct (8x22B) & 0.7599615947887524 & 2.0740070231700187 & 41.0 &  &  & 4200.536585365853 & 55.75331010452962 \\
Mixtral Instruct (8x7B) & 0.6489922910970789 & 3.1651858848146452 & 41.0 &  &  & 4200.536585365853 & 129.95958188153313 \\
Qwen2 Instruct (72B) & 0.7682857142857143 & 1.6615930949354005 & 41.0 &  &  & 3974.0020905923348 & 11.919163763066202 \\
Claude 3.5 Haiku (20241022) & 0.0011315417256011315 & 4.990259047916958 & 41.0 &  &  & 3374.3379790940767 & 211.44738675958195 \\
Claude 3.5 Sonnet (20241022) & 0.18935595743718084 & 3.5122133809930354 & 41.0 &  &  & 3374.3379790940767 & 122.85714285714283 \\
GPT-4o (2024-11-20) & 0.809142857142857 & 0.4460545551486132 & 41.0 &  &  & 3523.3930313588844 & 2.0 \\
GPT-4o mini (2024-07-18) & 0.6503553983393282 & 0.5197380451375183 & 41.0 &  &  & 3523.3930313588844 & 3.855749128919861 \\
\bottomrule
\end{tabular}}
\caption{Results for tab_fact (tab_fact)}
\label{fig:tab_fact (tab_fact)}
\end{table*}