\begin{table*}[htp]
\resizebox{\textwidth}{!}{
\begin{tabular}{lrrrrrrr}
\toprule
Model/adapter & F1 & Observed inference time (s) & # eval & # train & truncated & # prompt tokens & # output tokens \\
\midrule
Falcon (40B) & 0.6705103367078968 & 4.985411514362819 & 355.0 & 2.0225352112676056 &  & 1692.3295774647888 & 1.0 \\
Falcon (7B) & 0.6210887417964561 & 1.1411562691272144 & 355.0 & 2.0225352112676056 &  & 1692.3295774647888 & 1.0 \\
Gemma (7B) & 0.7547941688778793 & 0.6464767394921719 & 39.0 & 5.0 &  & 3428.25641025641 & 1.0 \\
Llama 2 (13B) & 0.7407788701111923 & 0.7950913200915699 & 355.0 & 4.408450704225352 &  & 3669.8084507042254 & 1.0 \\
Llama 2 (70B) & 0.7631713198687995 & 1.8709671289148464 & 355.0 & 4.408450704225352 &  & 3669.8084507042254 & 1.0 \\
Llama 2 (7B) & 0.685621004977857 & 0.8524049973823655 & 355.0 & 4.408450704225352 &  & 3669.8084507042254 & 1.0 \\
Llama 3 (70B) & 0.7864834218906618 & 1.7610286382528453 & 39.0 & 5.0 &  & 3479.051282051282 & 1.0 \\
Llama 3 (8B) & 0.7738165893274253 & 0.7072783433474027 & 39.0 & 5.0 &  & 3479.051282051282 & 1.0 \\
LLaMA (65B) & 0.7551554577325463 & 2.9087761751362975 & 355.0 & 1.4338028169014085 &  & 1539.5859154929578 & 1.0 \\
Mistral v0.1 (7B) & 0.7164233362865015 & 0.7051956902087574 & 355.0 & 4.574647887323944 &  & 3627.7154929577464 & 1.0 \\
Mixtral (8x22B) & 0.7541590134350314 & 1.4319384403717823 & 39.0 & 5.0 &  & 3904.1794871794873 & 1.0 \\
Mixtral (8x7B 32K seqlen) & 0.7666040431581972 & 0.649569604766201 & 355.0 & 4.574647887323944 &  & 3627.7154929577464 & 1.0 \\
OLMo (7B) & 0.6444830342843695 & 1.0799952837137075 & 39.0 & 2.0 &  & 1727.4102564102564 & 1.0 \\
Phi-2 & 0.7026273770474518 & 0.49325697791408485 & 355.0 & 2.084507042253521 &  & 1705.0056338028169 & 1.0 \\
Qwen1.5 (14B) & 0.685740644762933 & 1.011586415462005 & 39.0 & 5.0 &  & 3487.3846153846152 & 1.0 \\
Qwen1.5 (72B) & 0.5784062192834944 & 2.234536256545629 & 39.0 & 4.9743589743589745 &  & 3473.4871794871797 & 1.0 \\
Qwen1.5 (7B) & 0.3878897033608644 & 0.8154294490814209 & 39.0 & 5.0 &  & 3487.3846153846152 & 1.0 \\
Yi (34B) & 0.7821540048974333 & 2.368284817816506 & 355.0 & 4.867605633802817 &  & 3611.445070422535 & 1.0 \\
Yi (6B) & 0.7017925106130677 & 1.4038719868995775 & 355.0 & 4.867605633802817 &  & 3611.445070422535 & 1.0 \\
Jurassic-2 Jumbo (178B) & 0.7282089633491154 & 1.8203622415032186 & 355.0 & 5.0 &  & 2534.4338028169013 & 6.583098591549295 \\
Jurassic-2 Grande (17B) & 0.7444818075617076 & 1.1790085772393455 & 355.0 & 3.2253521126760565 &  & 1700.7408450704224 & 5.03943661971831 \\
Luminous Base (13B) & 0.6333079653434086 & 1.05044368958809 & 355.0 & 2.036619718309859 &  & 1694.6422535211268 & 5.52112676056338 \\
Luminous Extended (30B) & 0.6839493639230109 & 1.4667296523779212 & 355.0 & 2.036619718309859 &  & 1694.6422535211268 & 6.335211267605634 \\
Luminous Supreme (70B) & 0.7432289200129168 & 2.9511526873413945 & 355.0 & 2.036619718309859 &  & 1694.6422535211268 & 5.6845070422535215 \\
Anthropic Claude v1.3 & 0.723150787350498 & 6.113923052666893 & 355.0 & 5.0 &  & 3709.7408450704224 & 9.338028169014084 \\
Anthropic Claude Instant 1.2 & 0.61587810486012 & 1.490500447447871 & 355.0 & 5.0 &  & 3709.7408450704224 & 17.149295774647886 \\
Anthropic Claude 2.0 & 0.7176573220461364 & 4.8114360809326175 & 355.0 & 5.0 &  & 3709.7408450704224 & 10.56056338028169 \\
Anthropic Claude 2.1 & 0.6770119068282102 & 5.376147254755799 & 355.0 & 5.0 &  & 3709.7408450704224 & 12.430985915492958 \\
Cohere Command & 0.748757488257181 & 1.783306110408944 & 355.0 & 1.9408450704225353 &  & 1660.4845070422534 & 7.44225352112676 \\
Cohere Command Light & 0.6294598740957924 & 0.8961316760157195 & 355.0 & 1.9408450704225353 &  & 1660.4845070422534 & 10.814084507042253 \\
PaLM-2 (Bison) & 0.7180180202611235 & 1.030712524602111 & 355.0 & 5.0 &  & 4414.2338028169015 & 7.997183098591549 \\
PaLM-2 (Unicorn) & 0.5828773710219437 & 3.283053755424392 & 355.0 & 5.0 &  & 4414.2338028169015 & 16.543661971830986 \\
Mistral Medium (2312) & 0.449419017401787 & 3.898151301666045 & 355.0 & 5.0 &  & 3955.3295774647886 & 24.88450704225352 \\
GPT-3.5 (text-davinci-003) & 0.7308179266219924 & 1.812959625351597 & 355.0 & 4.954929577464789 &  & 3479.56338028169 & 9.732394366197184 \\
GPT-3.5 (text-davinci-002) & 0.7191082981361542 & 1.2258358747186795 & 355.0 & 4.954929577464789 &  & 3479.56338028169 & 8.447887323943663 \\
GPT-3.5 Turbo (0613) & 0.6545452493962763 & 0.3810261323418416 & 355.0 & 4.946478873239436 &  & 3493.6619718309857 & 9.909859154929578 \\
GPT-4 Turbo (1106 preview) & 0.7270706981870464 & 1.068114177945634 & 355.0 & 5.0 &  & 3522.6704225352114 & 9.88450704225352 \\
GPT-4 (0613) & 0.7677791724251858 & 0.9758186582108619 & 355.0 & 5.0 &  & 3522.6704225352114 & 8.51549295774648 \\
Palmyra X V2 (33B) & 0.7524621916104515 & 1.2016644296511798 & 355.0 & 5.0 &  & 3504.5774647887324 & 8.208450704225353 \\
Palmyra X V3 (72B) & 0.7059408242658334 & 2.848917615245765 & 355.0 & 5.0 &  & 3504.5774647887324 & 11.149295774647888 \\
\bottomrule
\end{tabular}}
\caption{Results for narrative_qa_ (narrative_qa)}
\label{fig:narrative_qa_ (narrative_qa)}
\end{table*}