\begin{table*}[htp]
\resizebox{\textwidth}{!}{
\begin{tabular}{lrrrrrr}
\toprule
Model/adapter & BBQ accuracy & # eval & # train & truncated & # prompt tokens & # output tokens \\
\midrule
DBRX Instruct & 0.792 & 1000.0 &  &  & 94.014 & 1.0 \\
DeepSeek LLM Chat (67B) & 0.862 & 1000.0 &  &  & 101.547 & 1.0 \\
Llama 3 Instruct (70B) & 0.91 & 1000.0 &  &  & 94.014 & 1.0 \\
Llama 3 Instruct (8B) & 0.765 & 1000.0 &  &  & 94.014 & 1.0 \\
Llama 3.1 Instruct Turbo (405B) & 0.945 & 1000.0 &  &  & 94.014 & 1.0 \\
Llama 3.1 Instruct Turbo (70B) & 0.954 & 1000.0 &  &  & 94.014 & 1.0 \\
Llama 3.1 Instruct Turbo (8B) & 0.785 & 1000.0 &  &  & 94.014 & 1.0 \\
Mistral Instruct v0.1 (7B) & 0.565 & 1000.0 &  &  & 107.219 & 1.0 \\
Mistral Instruct v0.3 (7B) & 0.668 & 1000.0 &  &  & 107.219 & 1.0 \\
Mixtral Instruct (8x22B) & 0.916 & 1000.0 &  &  & 107.219 & 1.0 \\
Mixtral Instruct (8x7B) & 0.857 & 1000.0 &  &  & 107.219 & 1.0 \\
Qwen1.5 Chat (72B) & 0.846 & 1000.0 &  &  & 94.134 & 1.0 \\
Qwen2 Instruct (72B) & 0.951 & 1000.0 &  &  & 94.134 & 1.0 \\
Claude 3 Haiku (20240307) & 0.625 & 1000.0 &  &  & 101.981 & 1.0 \\
Claude 3 Sonnet (20240229) & 0.9 & 1000.0 &  &  & 101.981 & 1.0 \\
Claude 3 Opus (20240229) & 0.94 & 1000.0 &  &  & 101.981 & 1.0 \\
Claude 3.5 Sonnet (20240620) & 0.949 & 1000.0 &  &  & 101.981 & 1.0 \\
Command R & 0.724 & 1000.0 &  &  & 98.948 &  \\
Command R Plus & 0.899 & 1000.0 &  &  & 98.948 &  \\
Gemini 1.5 Pro (001) & 0.945 & 1000.0 &  &  & 96.626 &  \\
Gemini 1.5 Flash (001) & 0.947 & 1000.0 &  &  & 96.626 &  \\
GPT-3.5 Turbo (0613) & 0.699 & 1000.0 &  &  & 94.014 & 1.0 \\
GPT-3.5 Turbo (1106) & 0.649 & 1000.0 &  &  & 94.014 & 1.0 \\
GPT-3.5 Turbo (0125) & 0.606 & 1000.0 &  &  & 94.014 & 1.0 \\
GPT-4 Turbo (2024-04-09) & 0.941 & 1000.0 &  &  & 94.014 & 1.0 \\
GPT-4o (2024-05-13) & 0.951 & 1000.0 &  &  & 93.077 & 1.0 \\
GPT-4o mini (2024-07-18) & 0.882 & 1000.0 &  &  & 93.077 & 1.0 \\
\bottomrule
\end{tabular}}
\caption{Results for bbq_subject:all (bbq)}
\label{fig:bbq_subject:all (bbq)}
\end{table*}