\begin{table*}[htp]
\resizebox{\textwidth}{!}{
\begin{tabular}{lrrrrrrr}
\toprule
Model & F1 Strings & Observed inference time (s) & # eval & # train & truncated & # prompt tokens & # output tokens \\
\midrule
Llama 3.1 Instruct (405B) & 0.5214081660111356 & 1.4842608719199786 & 61.0 &  &  & 2169.746532156368 &  \\
Llama 3.1 Instruct (70B) & 0.5191726938280206 & 0.7290796170010786 & 61.0 &  &  & 2219.3630843958713 &  \\
Llama 3.1 Instruct (8B) & 0.19160244186305 & 0.9881334972294735 & 61.0 &  &  & 2219.3630843958713 &  \\
Mistral Instruct v0.3 (7B) & 0.2483129271262201 & 1.9267112949692953 & 61.0 &  & 0.01288056206088993 & 5673.197189695551 & 27.031381733021078 \\
Mixtral Instruct (8x22B) & 0.23300454203659368 & 2.3230318594872257 & 61.0 &  &  & 5765.23793911007 & 61.59672131147541 \\
Mixtral Instruct (8x7B) & 0.10247133388221745 & 1.4607247011139213 & 61.0 &  &  & 4000.5987332339805 & 98.33718330849479 \\
Qwen2 Instruct (72B) & 0.5157222791556608 & 1.749211037041711 & 61.0 &  &  & 3878.4183606557385 & 10.231803278688524 \\
Claude 3.5 Haiku (20241022) & 0.13856169887234376 & 2.289209246300422 & 61.0 &  &  & 4505.793442622949 & 55.76932084309135 \\
Claude 3.5 Sonnet (20241022) & 0.15699315077111478 & 2.3948417736719017 & 61.0 &  &  & 4505.793442622949 & 44.30772833723655 \\
GPT-4o (2024-11-20) & 0.6006843962360978 & 0.5488430032685432 & 61.0 &  &  & 4534.897658079625 & 4.477049180327871 \\
GPT-4o mini (2024-07-18) & 0.48989241357323976 & 0.698139840825101 & 61.0 &  &  & 4534.897658079625 & 4.3964871194379365 \\
\bottomrule
\end{tabular}}
\caption{Results for wikitq (wikitq)}
\label{fig:wikitq (wikitq)}
\end{table*}