\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) & 0.6947368421052632 & 95.0 & 5.0 &  & 862.1052631578947 & 1.0 \\
Typhoon 1.5X instruct (8B) & 0.43157894736842106 & 95.0 & 5.0 &  & 862.1052631578947 & 1.0 \\
OpenThaiGPT v1.0.0 (13B) & 0.3684210526315789 & 95.0 & 5.0 &  & 521.1157894736842 & 1.0 \\
OpenThaiGPT v1.0.0 (7B) & 0.25263157894736843 & 95.0 & 5.0 &  & 521.1157894736842 & 1.0 \\
Sailor Chat (14B) & 0.47368421052631576 & 95.0 & 5.0 &  & 1045.9368421052632 & 1.0 \\
Sailor Chat (7B) & 0.3894736842105263 & 95.0 & 5.0 &  & 1045.9368421052632 & 1.0 \\
SambaLingo-Thai-Chat & 0.28421052631578947 & 95.0 & 5.0 &  & 466.2105263157895 & 1.0 \\
SambaLingo-Thai-Chat-70B & 0.6 & 95.0 & 5.0 &  & 466.2105263157895 & 1.0 \\
SEA-LION Instruct (7B) & 0.16842105263157894 & 95.0 & 5.0 &  & 545.021052631579 & 1.0 \\
SeaLLM v2 (7B) & 0.3473684210526316 & 95.0 & 5.0 &  & 767.7368421052631 & 1.0 \\
SeaLLM v2.5 (7B) & 0.5052631578947369 & 95.0 & 5.0 &  & 769.1473684210526 & 1.0 \\
Typhoon (7B) & 0.3894736842105263 & 95.0 & 5.0 &  & 656.8736842105263 & 1.0 \\
Typhoon v1.5 Instruct (72B) & 0.7157894736842105 & 95.0 & 5.0 &  & 1045.9368421052632 & 1.0 \\
Typhoon v1.5 Instruct (8B) & 0.4105263157894737 & 95.0 & 5.0 &  & 862.1052631578947 & 1.0 \\
Llama 3 Instruct (70B) & 0.6526315789473685 & 95.0 & 5.0 &  & 862.1052631578947 & 1.0 \\
Llama 3 Instruct (8B) & 0.21052631578947367 & 95.0 & 5.0 &  & 862.1052631578947 & 1.0 \\
Mistral Instruct v0.3 (7B) & 0.24210526315789474 & 95.0 & 5.0 &  & 1772.7684210526315 & 1.0 \\
Mixtral Instruct (8x22B) & 0.3263157894736842 & 95.0 & 5.0 &  & 1772.7684210526315 & 1.0 \\
Mixtral Instruct (8x7B) & 0.2631578947368421 & 95.0 & 5.0 &  & 1772.7684210526315 & 1.0 \\
Qwen1.5 Chat (72B) & 0.631578947368421 & 95.0 & 5.0 &  & 1045.9368421052632 & 1.0 \\
Qwen1.5 Chat (7B) & 0.3894736842105263 & 95.0 & 5.0 &  & 1045.9368421052632 & 1.0 \\
Qwen2 Instruct (72B) & 0.7263157894736842 & 95.0 & 5.0 &  & 1045.9368421052632 & 1.0 \\
Claude 3 Haiku (20240307) & 0.6 & 95.0 & 5.0 &  & 2833.0105263157893 & 1.0 \\
Claude 3 Sonnet (20240229) & 0.6736842105263158 & 95.0 & 5.0 &  & 2833.0105263157893 & 1.0 \\
Claude 3 Opus (20240229) & 0.7684210526315789 & 95.0 & 5.0 &  & 2833.0105263157893 & 1.0 \\
Claude 3.5 Sonnet (20240620) & 0.8736842105263158 & 95.0 & 5.0 &  & 2833.0105263157893 & 1.0 \\
Command R & 0.3894736842105263 & 95.0 & 5.0 &  & 1749.0315789473684 &  \\
Command R Plus & 0.28421052631578947 & 95.0 & 5.0 &  & 1749.0315789473684 &  \\
Gemini 1.0 Pro (002) & 0.4631578947368421 & 95.0 & 5.0 &  & 769.1473684210526 &  \\
Gemini 1.5 Pro (001) & 0.6842105263157895 & 95.0 & 5.0 &  & 769.1473684210526 &  \\
Gemini 1.5 Flash (001) & 0.6631578947368421 & 95.0 & 5.0 &  & 769.1473684210526 &  \\
GPT-3.5 Turbo (0125) & 0.37894736842105264 & 95.0 & 5.0 &  & 1622.1157894736841 & 1.0 \\
GPT-4 Turbo (2024-04-09) & 0.6105263157894737 & 95.0 & 5.0 &  & 1622.1157894736841 & 1.0 \\
GPT-4o (2024-05-13) & 0.631578947368421 & 95.0 & 5.0 &  & 802.1263157894737 & 1.0 \\
\bottomrule
\end{tabular}}
\caption{Results for thai_exam_exam:ic (thai_exam)}
\label{fig:thai_exam_exam:ic (thai_exam)}
\end{table*}