\begin{table*}[htp]
\resizebox{\textwidth}{!}{
\begin{tabular}{lrrrrrrrr}
\toprule
Model/adapter & LM Evaluated Safety score & # eval & # train & truncated & # prompt tokens & # output tokens & Llama Annotator Success Rate & GPT Annotator Success Rate \\
\midrule
DBRX Instruct & 0.2710163111668758 & 400.0 &  &  & 96.6875 & 377.6675 & 0.9925 & 1.0 \\
DeepSeek LLM Chat (67B) & 0.649375 & 400.0 &  &  & 106.6025 & 229.435 & 1.0 & 1.0 \\
Llama 3 Instruct (70B) & 0.64 & 400.0 &  &  & 96.67 & 199.36 & 1.0 & 1.0 \\
Llama 3 Instruct (8B) & 0.726875 & 400.0 &  &  & 96.67 & 162.1425 & 1.0 & 1.0 \\
Llama 3.1 Instruct Turbo (405B) & 0.626875 & 400.0 &  &  & 96.67 & 225.985 & 1.0 & 1.0 \\
Llama 3.1 Instruct Turbo (70B) & 0.46875 & 400.0 &  &  & 96.67 & 305.8775 & 1.0 & 1.0 \\
Llama 3.1 Instruct Turbo (8B) & 0.61625 & 400.0 &  &  & 96.67 & 244.8925 & 1.0 & 1.0 \\
Mistral Instruct v0.1 (7B) & 0.23304020100502512 & 400.0 &  &  & 115.7925 & 358.705 & 0.99 & 1.0 \\
Mistral Instruct v0.3 (7B) & 0.34375 & 400.0 &  & 0.0025 & 115.79 & 445.83 & 1.0 & 1.0 \\
Mixtral Instruct (8x22B) & 0.520625 & 400.0 &  &  & 115.7925 & 360.46 & 1.0 & 1.0 \\
Mixtral Instruct (8x7B) & 0.45125 & 400.0 &  &  & 115.7925 & 343.06 & 1.0 & 1.0 \\
Qwen1.5 Chat (72B) & 0.648125 & 400.0 &  &  & 100.015 & 315.65 & 1.0 & 1.0 \\
Qwen2 Instruct (72B) & 0.7675 & 400.0 &  &  & 100.015 & 242.505 & 1.0 & 1.0 \\
Claude 3 Haiku (20240307) & 0.9125 & 400.0 &  &  & 100.76 & 140.775 & 1.0 & 1.0 \\
Claude 3 Sonnet (20240229) & 0.9575 & 400.0 &  &  & 100.76 & 123.2975 & 1.0 & 1.0 \\
Claude 3 Opus (20240229) & 0.974375 & 400.0 &  &  & 100.76 & 118.955 & 1.0 & 1.0 \\
Claude 3.5 Sonnet (20240620) & 0.980625 & 400.0 &  &  & 100.76 & 115.215 & 1.0 & 1.0 \\
Command R & 0.504375 & 400.0 &  &  & 102.185 &  & 1.0 & 1.0 \\
Command R Plus & 0.485 & 400.0 &  &  & 102.185 &  & 1.0 & 1.0 \\
Gemini 1.5 Pro (001) & 0.79875 & 400.0 &  &  & 100.55 &  & 1.0 & 1.0 \\
Gemini 1.5 Flash (001) & 0.8 & 400.0 &  &  & 100.55 &  & 1.0 & 1.0 \\
GPT-3.5 Turbo (0613) & 0.68 & 400.0 &  &  & 96.6875 & 186.8525 & 1.0 & 1.0 \\
GPT-3.5 Turbo (1106) & 0.685625 & 400.0 &  &  & 96.6875 & 129.2675 & 1.0 & 1.0 \\
GPT-3.5 Turbo (0125) & 0.6325 & 400.0 &  &  & 96.6875 & 153.03 & 1.0 & 1.0 \\
GPT-4 Turbo (2024-04-09) & 0.898125 & 400.0 &  &  & 96.6875 & 81.2025 & 1.0 & 1.0 \\
GPT-4o (2024-05-13) & 0.829375 & 400.0 &  &  & 95.8675 & 124.91 & 1.0 & 1.0 \\
GPT-4o mini (2024-07-18) & 0.849375 & 400.0 &  &  & 95.8675 & 90.305 & 1.0 & 1.0 \\
\bottomrule
\end{tabular}}
\caption{Results for harm_bench_ (harm_bench)}
\label{fig:harm_bench_ (harm_bench)}
\end{table*}