\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) & 0.6923076923076923 & 65.0 & 5.0 &  & 1069.876923076923 & 1.0 \\
Typhoon 1.5X instruct (8B) & 0.6923076923076923 & 65.0 & 5.0 &  & 1069.876923076923 & 1.0 \\
OpenThaiGPT v1.0.0 (13B) & 0.5846153846153846 & 65.0 & 5.0 &  & 686.9076923076923 & 1.0 \\
OpenThaiGPT v1.0.0 (7B) & 0.49230769230769234 & 65.0 & 5.0 &  & 686.9076923076923 & 1.0 \\
Sailor Chat (14B) & 0.6461538461538462 & 65.0 & 5.0 &  & 1247.8923076923077 & 1.0 \\
Sailor Chat (7B) & 0.6307692307692307 & 65.0 & 5.0 &  & 1247.8923076923077 & 1.0 \\
SambaLingo-Thai-Chat & 0.5538461538461539 & 65.0 & 5.0 &  & 601.9230769230769 & 1.0 \\
SambaLingo-Thai-Chat-70B & 0.676923076923077 & 65.0 & 5.0 &  & 601.9230769230769 & 1.0 \\
SEA-LION Instruct (7B) & 0.3076923076923077 & 65.0 & 5.0 &  & 588.3692307692307 & 1.0 \\
SeaLLM v2 (7B) & 0.6153846153846154 & 65.0 & 5.0 &  & 893.5384615384615 & 1.0 \\
SeaLLM v2.5 (7B) & 0.6307692307692307 & 65.0 & 5.0 &  & 857.8 & 1.0 \\
Typhoon (7B) & 0.6461538461538462 & 65.0 & 5.0 &  & 723.0307692307692 & 1.0 \\
Typhoon v1.5 Instruct (72B) & 0.6923076923076923 & 65.0 & 5.0 &  & 1247.8923076923077 & 1.0 \\
Typhoon v1.5 Instruct (8B) & 0.6923076923076923 & 65.0 & 5.0 &  & 1069.876923076923 & 1.0 \\
Llama 3 Instruct (70B) & 0.6923076923076923 & 65.0 & 5.0 &  & 1069.876923076923 & 1.0 \\
Llama 3 Instruct (8B) & 0.18461538461538463 & 65.0 & 5.0 &  & 1069.876923076923 & 1.0 \\
Mistral Instruct v0.3 (7B) & 0.5384615384615384 & 65.0 & 5.0 &  & 2158.153846153846 & 1.0 \\
Mixtral Instruct (8x22B) & 0.6307692307692307 & 65.0 & 5.0 &  & 2158.153846153846 & 1.0 \\
Mixtral Instruct (8x7B) & 0.4461538461538462 & 65.0 & 5.0 &  & 2158.153846153846 & 1.0 \\
Qwen1.5 Chat (72B) & 0.6923076923076923 & 65.0 & 5.0 &  & 1247.8923076923077 & 1.0 \\
Qwen1.5 Chat (7B) & 0.6307692307692307 & 65.0 & 5.0 &  & 1247.8923076923077 & 1.0 \\
Qwen2 Instruct (72B) & 0.7076923076923077 & 65.0 & 5.0 &  & 1247.8923076923077 & 1.0 \\
Claude 3 Haiku (20240307) & 0.7076923076923077 & 65.0 & 5.0 &  & 3587.6 & 1.0 \\
Claude 3 Sonnet (20240229) & 0.7384615384615385 & 65.0 & 5.0 &  & 3587.6 & 1.0 \\
Claude 3 Opus (20240229) & 0.8 & 65.0 & 5.0 &  & 3587.6 & 1.0 \\
Claude 3.5 Sonnet (20240620) & 0.8307692307692308 & 65.0 & 5.0 &  & 3587.6 & 1.0 \\
Command R & 0.6153846153846154 & 65.0 & 5.0 &  & 2180.7076923076925 &  \\
Command R Plus & 0.6 & 65.0 & 5.0 &  & 2180.7076923076925 &  \\
Gemini 1.0 Pro (002) & 0.6923076923076923 & 65.0 & 5.0 &  & 857.8 &  \\
Gemini 1.5 Pro (001) & 0.7384615384615385 & 65.0 & 5.0 &  & 857.8 &  \\
Gemini 1.5 Flash (001) & 0.676923076923077 & 65.0 & 5.0 &  & 857.8 &  \\
GPT-3.5 Turbo (0125) & 0.6615384615384615 & 65.0 & 5.0 &  & 1995.3846153846155 & 1.0 \\
GPT-4 Turbo (2024-04-09) & 0.7076923076923077 & 65.0 & 5.0 &  & 1995.3846153846155 & 1.0 \\
GPT-4o (2024-05-13) & 0.7538461538461538 & 65.0 & 5.0 &  & 943.4153846153846 & 1.0 \\
\bottomrule
\end{tabular}}
\caption{Results for thai_exam_exam:tgat (thai_exam)}
\label{fig:thai_exam_exam:tgat (thai_exam)}
\end{table*}