\begin{table*}[htp]
\resizebox{\textwidth}{!}{
\begin{tabular}{lrrrrrr}
\toprule
Model/adapter & EM & # eval & # train & truncated & # prompt tokens & # output tokens \\
\midrule
Typhoon 1.5X instruct (70B) & 0.6111111111111112 & 162.0 & 5.0 &  & 973.820987654321 & 1.0 \\
Typhoon 1.5X instruct (8B) & 0.46296296296296297 & 162.0 & 5.0 &  & 973.820987654321 & 1.0 \\
OpenThaiGPT v1.0.0 (13B) & 0.30246913580246915 & 162.0 & 5.0 &  & 677.0493827160494 & 1.0 \\
OpenThaiGPT v1.0.0 (7B) & 0.2654320987654321 & 162.0 & 5.0 &  & 677.0493827160494 & 1.0 \\
Sailor Chat (14B) & 0.5 & 162.0 & 5.0 &  & 1103.8827160493827 & 1.0 \\
Sailor Chat (7B) & 0.35802469135802467 & 162.0 & 5.0 &  & 1103.8827160493827 & 1.0 \\
SambaLingo-Thai-Chat & 0.30864197530864196 & 162.0 & 5.0 &  & 596.3395061728395 & 1.0 \\
SambaLingo-Thai-Chat-70B & 0.4444444444444444 & 162.0 & 5.0 &  & 596.3395061728395 & 1.0 \\
SEA-LION Instruct (7B) & 0.18518518518518517 & 162.0 & 5.0 &  & 634.0679012345679 & 1.0 \\
SeaLLM v2 (7B) & 0.29012345679012347 & 162.0 & 5.0 &  & 912.2654320987655 & 1.0 \\
SeaLLM v2.5 (7B) & 0.46296296296296297 & 162.0 & 5.0 &  & 882.5864197530864 & 1.0 \\
Typhoon (7B) & 0.3765432098765432 & 162.0 & 5.0 &  & 781.7716049382716 & 1.0 \\
Typhoon v1.5 Instruct (72B) & 0.5802469135802469 & 162.0 & 5.0 &  & 1103.8827160493827 & 1.0 \\
Typhoon v1.5 Instruct (8B) & 0.4506172839506173 & 162.0 & 5.0 &  & 973.820987654321 & 1.0 \\
Llama 3 Instruct (70B) & 0.5061728395061729 & 162.0 & 5.0 &  & 973.820987654321 & 1.0 \\
Llama 3 Instruct (8B) & 0.19135802469135801 & 162.0 & 5.0 &  & 973.820987654321 & 1.0 \\
Mistral Instruct v0.3 (7B) & 0.2962962962962963 & 162.0 & 5.0 &  & 1815.388888888889 & 1.0 \\
Mixtral Instruct (8x22B) & 0.25308641975308643 & 162.0 & 5.0 &  & 1815.388888888889 & 1.0 \\
Mixtral Instruct (8x7B) & 0.20987654320987653 & 162.0 & 5.0 &  & 1815.388888888889 & 1.0 \\
Qwen1.5 Chat (72B) & 0.4506172839506173 & 162.0 & 5.0 &  & 1103.8827160493827 & 1.0 \\
Qwen1.5 Chat (7B) & 0.32098765432098764 & 162.0 & 5.0 &  & 1103.8827160493827 & 1.0 \\
Qwen2 Instruct (72B) & 0.6049382716049383 & 162.0 & 5.0 &  & 1103.8827160493827 & 1.0 \\
Claude 3 Haiku (20240307) & 0.5061728395061729 & 162.0 & 5.0 &  & 2899.259259259259 & 1.0 \\
Claude 3 Sonnet (20240229) & 0.4876543209876543 & 162.0 & 5.0 &  & 2899.259259259259 & 1.0 \\
Claude 3 Opus (20240229) & 0.6666666666666666 & 162.0 & 5.0 &  & 2899.259259259259 & 1.0 \\
Claude 3.5 Sonnet (20240620) & 0.7345679012345679 & 162.0 & 5.0 &  & 2899.259259259259 & 1.0 \\
Command R & 0.30246913580246915 & 162.0 & 5.0 &  & 1825.0185185185185 &  \\
Command R Plus & 0.3148148148148148 & 162.0 & 5.0 &  & 1825.0185185185185 &  \\
Gemini 1.0 Pro (002) & 0.4382716049382716 & 162.0 & 5.0 &  & 882.5864197530864 &  \\
Gemini 1.5 Pro (001) & 0.6111111111111112 & 162.0 & 5.0 &  & 882.5864197530864 &  \\
Gemini 1.5 Flash (001) & 0.5802469135802469 & 162.0 & 5.0 &  & 882.5864197530864 &  \\
GPT-3.5 Turbo (0125) & 0.2716049382716049 & 162.0 & 5.0 &  & 1703.4506172839506 & 1.0 \\
GPT-4 Turbo (2024-04-09) & 0.5370370370370371 & 162.0 & 5.0 &  & 1703.4506172839506 & 1.0 \\
GPT-4o (2024-05-13) & 0.6358024691358025 & 162.0 & 5.0 &  & 906.6111111111111 & 1.0 \\
\bottomrule
\end{tabular}}
\caption{Results for thai_exam_exam:onet (thai_exam)}
\label{fig:thai_exam_exam:onet (thai_exam)}
\end{table*}