\begin{table*}[htp]
\resizebox{\textwidth}{!}{
\begin{tabular}{lrrrrrrrrrrrrrrrrrrrrrrrrr}
\toprule
Model/adapter & MMLU Abstract Algebra - # eval & MMLU Abstract Algebra - # train & MMLU Abstract Algebra - truncated & MMLU Abstract Algebra - # prompt tokens & MMLU Abstract Algebra - # output tokens & MMLU College Chemistry - # eval & MMLU College Chemistry - # train & MMLU College Chemistry - truncated & MMLU College Chemistry - # prompt tokens & MMLU College Chemistry - # output tokens & MMLU Computer Security - # eval & MMLU Computer Security - # train & MMLU Computer Security - truncated & MMLU Computer Security - # prompt tokens & MMLU Computer Security - # output tokens & MMLU Econometrics - # eval & MMLU Econometrics - # train & MMLU Econometrics - truncated & MMLU Econometrics - # prompt tokens & MMLU Econometrics - # output tokens & MMLU Us Foreign Policy - # eval & MMLU Us Foreign Policy - # train & MMLU Us Foreign Policy - truncated & MMLU Us Foreign Policy - # prompt tokens & MMLU Us Foreign Policy - # output tokens \\
\midrule
Gemma (7B) & 100.0 & 5.0 &  & 387.97 & 1.0 & 100.0 & 5.0 &  & 574.02 & 1.0 & 100.0 & 5.0 &  & 384.91 & 1.0 & 114.0 & 5.0 &  & 638.5526315789474 & 1.0 & 100.0 & 5.0 &  & 442.2 & 1.0 \\
Gemma Instruct (7B) & 100.0 & 5.0 &  & 387.97 & 1.0 & 100.0 & 5.0 &  & 574.02 & 1.0 & 100.0 & 5.0 &  & 384.91 & 1.0 & 114.0 & 5.0 &  & 638.5526315789474 & 1.0 & 100.0 & 5.0 &  & 442.2 & 1.0 \\
Llama 2 (7B) & 100.0 & 5.0 &  & 409.65 & 1.0 & 100.0 & 5.0 &  & 634.43 & 1.0 & 100.0 & 5.0 &  & 440.17 & 1.0 & 114.0 & 5.0 &  & 696.6754385964912 & 1.0 & 100.0 & 5.0 &  & 491.81 & 1.0 \\
Mixtral (8x7B 32K seqlen) & 100.0 & 5.0 &  & 414.44 & 1.0 & 100.0 & 5.0 &  & 639.71 & 1.0 & 100.0 & 5.0 &  & 436.94 & 1.0 & 114.0 & 5.0 &  & 699.1754385964912 & 1.0 & 100.0 & 5.0 &  & 485.19 & 1.0 \\
Phi-2 & 100.0 & 5.0 &  & 383.38 & 1.0 & 100.0 & 5.0 &  & 557.4 & 1.0 & 100.0 & 5.0 &  & 399.4 & 1.0 & 114.0 & 5.0 &  & 636.0701754385965 & 1.0 & 100.0 & 5.0 &  & 445.12 & 1.0 \\
Qwen1.5 (7B) & 100.0 & 5.0 &  & 383.19 & 1.0 & 100.0 & 5.0 &  & 573.25 & 1.0 & 100.0 & 5.0 &  & 391.64 & 1.0 & 114.0 & 5.0 &  & 632.938596491228 & 1.0 & 100.0 & 5.0 &  & 433.16 & 1.0 \\
Yi (6B) & 100.0 & 5.0 &  & 395.67 & 1.0 & 100.0 & 5.0 &  & 609.54 & 1.0 & 100.0 & 5.0 &  & 417.74 & 1.0 & 114.0 & 5.0 &  & 679.7894736842105 & 1.0 & 100.0 & 5.0 &  & 470.53 & 1.0 \\
Anthropic Claude Instant 1.2 & 100.0 & 5.0 &  & 381.26 & 1.0 & 100.0 & 5.0 &  & 561.01 & 1.0 & 100.0 & 5.0 &  & 409.62 & 1.0 & 114.0 & 5.0 &  & 630.5964912280701 & 1.0 & 100.0 & 5.0 &  & 466.25 & 1.0 \\
Anthropic Claude 2.1 & 100.0 & 5.0 &  & 381.26 & 1.0 & 100.0 & 5.0 &  & 561.01 & 1.0 & 100.0 & 5.0 &  & 409.62 & 1.0 & 114.0 & 5.0 &  & 630.5964912280701 & 1.0 & 100.0 & 5.0 &  & 466.25 & 1.0 \\
Gemini & 100.0 & 5.0 &  & 387.97 &  & 100.0 & 5.0 &  & 574.02 &  & 100.0 & 5.0 &  & 384.91 &  & 114.0 & 5.0 &  & 638.5526315789474 &  & 100.0 & 5.0 &  & 442.2 &  \\
PaLM-2 (Bison) & 100.0 & 5.0 &  & 399.12 &  & 100.0 & 5.0 &  & 585.7 &  & 100.0 & 5.0 &  & 396.24 &  & 114.0 & 5.0 &  & 656.3947368421053 &  & 100.0 & 5.0 &  & 452.48 &  \\
PaLM-2 (Unicorn) & 100.0 & 5.0 &  & 399.12 &  & 100.0 & 5.0 &  & 585.7 &  & 100.0 & 5.0 &  & 396.24 &  & 114.0 & 5.0 &  & 656.3947368421053 &  & 100.0 & 5.0 &  & 452.48 &  \\
GPT-3.5 Turbo (0613) & 100.0 & 5.0 &  & 378.44 & 1.0 & 100.0 & 5.0 &  & 554.4 & 1.0 & 100.0 & 5.0 &  & 383.54 & 1.0 & 114.0 & 5.0 &  & 619.4298245614035 & 1.0 & 100.0 & 5.0 &  & 427.79 & 1.0 \\
GPT-4 Turbo (1106 preview) & 100.0 & 5.0 &  & 378.44 & 1.0 & 100.0 & 5.0 &  & 554.4 & 1.0 & 100.0 & 5.0 &  & 383.54 & 1.0 & 114.0 & 5.0 &  & 619.4298245614035 & 1.0 & 100.0 & 5.0 &  & 427.79 & 1.0 \\
\bottomrule
\end{tabular}}
\caption{Results for general_information (mmlu_subjects)}
\label{fig:general_information (mmlu_subjects)}
\end{table*}