LLaMA-13B · ARC AI2 · Challenge score · % ↗
2 more reported results
52.7% · LLaMA-13B · ARC AI2 · Challenge score · % · Epoch AI · ARC AI2 ↗
52.7% · LLaMA-13B · ARC AI2 · Challenge score · % · Epoch AI · ARC AI2 ↗
Meta / MODEL EVIDENCE
17 benchmarks · 50 observations · 15 sources · released 2023-02-24
17 benchmarks · large dot: Llama 13B; small dots: closest models where reported
LLaMA-13B · ARC AI2 · Challenge score · % ↗
52.7% · LLaMA-13B · ARC AI2 · Challenge score · % · Epoch AI · ARC AI2 ↗
52.7% · LLaMA-13B · ARC AI2 · Challenge score · % · Epoch AI · ARC AI2 ↗
LLaMA-13B · BBH · Average · % ↗
37.89% · LLaMA-13B · BBH · Average · % · Epoch AI · BBH ↗
37% · LLaMA-13B · BBH · Average · % · Epoch AI · BBH ↗
LLaMA-13B · GSM8K · EM · % ↗
20.55% · LLaMA-13B · GSM8K · EM · % · Epoch AI · GSM8K ↗
17.8% · LLaMA-13B · GSM8K · EM · % · Epoch AI · GSM8K ↗
17.8% · LLaMA-13B · GSM8K · EM · % · Epoch AI · GSM8K ↗
20.3% · LLaMA-13B · GSM8K · EM · % · Epoch AI · GSM8K ↗
LLaMA-13B · HellaSwag · Overall accuracy · % ↗
LLaMA-13B · LAMBADA · Score · % ↗
LLaMA-13B · MMLU · EM · % ↗
47.7% · LLaMA-13B · MMLU · EM · % · Epoch AI · MMLU ↗
46.9% · LLaMA-13B · MMLU · EM · % · Epoch AI · MMLU ↗
46.9% · LLaMA-13B · MMLU · EM · % · Epoch AI · MMLU ↗
LLaMA-13B · OpenBookQA · Accuracy · % ↗
56.4% · LLaMA-13B · OpenBookQA · Accuracy · % · Epoch AI · OpenBookQA ↗
LLaMA-13B · PIQA · Score · % ↗
80.1% · LLaMA-13B · PIQA · Score · % · Epoch AI · PIQA ↗
80.1% · LLaMA-13B · PIQA · Score · % · Epoch AI · PIQA ↗
LLaMA-13B · ScienceQA · Score · % ↗
LLaMA-13B · TriviaQA · EM · % ↗
77.1% · LLaMA-13B · TriviaQA · EM · % · Epoch AI · TriviaQA ↗
74.4% · LLaMA-13B · TriviaQA · EM · % · Epoch AI · TriviaQA ↗
70.1% · LLaMA-13B · TriviaQA · EM · % · Epoch AI · TriviaQA ↗
64% · LLaMA-13B · TriviaQA · EM · % · Epoch AI · TriviaQA ↗
63.1% · LLaMA-13B · TriviaQA · EM · % · Epoch AI · TriviaQA ↗
60.5% · LLaMA-13B · TriviaQA · EM · % · Epoch AI · TriviaQA ↗
56.6% · LLaMA-13B · TriviaQA · EM · % · Epoch AI · TriviaQA ↗
LLaMA-13B · Winogrande · Accuracy · % ↗
73% · LLaMA-13B · Winogrande · Accuracy · % · Epoch AI · Winogrande ↗
LLaMA-13B · General ECI · 26 October 2026 fit ↗
llama-13b · MACHIAVELLI · Normalized reward · agent comparison ↗
101 points · llama-13b · MACHIAVELLI · Normalized power · agent comparison · Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark ↗
98 points · llama-13b · MACHIAVELLI · Normalized disutility · agent comparison · Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark ↗
100 points · llama-13b · MACHIAVELLI · Normalized ethical violations · agent comparison · Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark ↗
LLaMA-13B · CMMLU · Five-shot subject-macro accuracy · original five-shot comparison ↗
LLaMA-13B · BhasaBench / IndicGenBench · CrossSum-In · one-shot evaluation ↗
13.3 points · LLaMA-13B · BhasaBench / IndicGenBench · Flores-In · one-shot evaluation · IndicGenBench: A Multilingual Benchmark to Evaluate Generation Capabilities of LLMs on Indic Languages ↗
4.5 points · LLaMA-13B · BhasaBench / IndicGenBench · XQuAD-In · one-shot evaluation · IndicGenBench: A Multilingual Benchmark to Evaluate Generation Capabilities of LLMs on Indic Languages ↗
10.4 points · LLaMA-13B · BhasaBench / IndicGenBench · XorQA-In-Xx · one-shot evaluation · IndicGenBench: A Multilingual Benchmark to Evaluate Generation Capabilities of LLMs on Indic Languages ↗
12.1 points · LLaMA-13B · BhasaBench / IndicGenBench · XorQA-In-En · one-shot evaluation · IndicGenBench: A Multilingual Benchmark to Evaluate Generation Capabilities of LLMs on Indic Languages ↗
LLaMA-13B · MT-Bench & MT-Bench-101 · GPT-4 judge score · original model variants ↗
LLaMA (13B) · Accuracy ↗
78.7% · LLaMA-13B · Accuracy · Epoch AI · BoolQ · public result data ↗
78.1% · LLaMA 13B · Accuracy · Epoch AI · BoolQ · public result data ↗
Similar positions on shared benchmark leaderboards. Smaller gaps are closer.
13 of 16 shared benchmark comparisons
11 of 16 shared benchmark comparisons
Mean absolute gap in percentile positions on shared benchmark settings; lower is closer. At least 60% overlap is required, with a minimum of three when available. Independent evaluations are used when there are at least three; otherwise published report comparisons are used. Repeated model observations within one setting are averaged before ranking. Writing-style traits and composite indices are excluded. This describes similarity, not an overall quality ranking.
Every plotted observation links to its evaluation. Reported configurations, benchmark versions and task subsets can differ; similarity describes shared scores, not training lift.
Touvron, Hugo, Lavril, Thibaut, Izacard, Gautier, Martinet, Xavier, Lachaux, Marie-Anne, Lacroix, Timothée, Rozière, Baptiste, Goyal, Naman, Hambro, Eric, Azhar, Faisal, Rodriguez, Aurelien, Joulin, Armand, Grave, Edouard, Lample, Guillaume
Touvron, Hugo, Martin, Louis, Stone, Kevin, Albert, Peter, Almahairi, Amjad, Babaei, Yasmine, Bashlykov, Nikolay, Batra, Soumya, Bhargava, Prajjwal, Bhosale, Shruti, Bikel, Dan, Blecher, Lukas, Ferrer, Cristian Canton, Chen, Moya, Cucurull, Guillem, Esiobu, David, Fernandes, Jude, Fu, Jeremy, Fu, Wenyin, Fuller, Brian, Gao, Cynthia, Goswami, Vedanuj, Goyal, Naman, Hartshorn, Anthony, Hosseini, Saghar, Hou, Rui, Inan, Hakan, Kardas, Marcin, Kerkez, Viktor, Khabsa, Madian, Kloumann, Isabel, Korenev, Artem, Koura, Punit Singh, Lachaux, Marie-Anne, Lavril, Thibaut, Lee, Jenya, Liskovich, Diana, Lu, Yinghai, Mao, Yuning, Martinet, Xavier, Mihaylov, Todor, Mishra, Pushkar, Molybog, Igor, Nie, Yixin, Poulton, Andrew, Reizenstein, Jeremy, Rungta, Rashi, Saladi, Kalyan, Schelten, Alan, Silva, Ruan, Smith, Eric Michael, Subramanian, Ranjan, Tan, Xiaoqing Ellen, Tang, Binh, Taylor, Ross, Williams, Adina, Kuan, Jian Xiang, Xu, Puxin, Yan, Zheng, Zarov, Iliyan, Zhang, Yuchen, Fan, Angela, Kambadur, Melanie, Narang, Sharan, Rodriguez, Aurelien, Stojnic, Robert, Edunov, Sergey, Scialom, Thomas
Yang, Aiyuan, Xiao, Bin, Wang, Bingning, Zhang, Borong, Bian, Ce, Yin, Chao, Lv, Chenxu, Pan, Da, Wang, Dian, Yan, Dong, Yang, Fan, Deng, Fei, Wang, Feng, Liu, Feng, Ai, Guangwei, Dong, Guosheng, Zhao, Haizhou, Xu, Hang, Sun, Haoze, Zhang, Hongda, Liu, Hui, Ji, Jiaming, Xie, Jian, Dai, JunTao, Fang, Kun, Su, Lei, Song, Liang, Liu, Lifeng, Ru, Liyun, Ma, Luyao, Wang, Mang, Liu, Mickel, Lin, MingAn, Nie, Nuolan, Guo, Peidong, Sun, Ruiyang, Zhang, Tao, Li, Tianpeng, Li, Tianyu, Cheng, Wei, Chen, Weipeng, Zeng, Xiangrong, Wang, Xiaochuan, Chen, Xiaoxi, Men, Xin, Yu, Xin, Pan, Xuehai, Shen, Yanjun, Wang, Yiding, Li, Yiyu, Jiang, Youxin, Gao, Yuchen, Zhang, Yupeng, Zhou, Zenan, Wu, Zhiying
Bai, Jinze, Bai, Shuai, Chu, Yunfei, Cui, Zeyu, Dang, Kai, Deng, Xiaodong, Fan, Yang, Ge, Wenbin, Han, Yu, Huang, Fei, Hui, Binyuan, Ji, Luo, Li, Mei, Lin, Junyang, Lin, Runji, Liu, Dayiheng, Liu, Gao, Lu, Chengqiang, Lu, Keming, Ma, Jianxin, Men, Rui, Ren, Xingzhang, Ren, Xuancheng, Tan, Chuanqi, Tan, Sinan, Tu, Jianhong, Wang, Peng, Wang, Shijie, Wang, Wei, Wu, Shengguang, Xu, Benfeng, Xu, Jin, Yang, An, Yang, Hao, Yang, Jian, Yang, Shusheng, Yao, Yang, Yu, Bowen, Yuan, Hongyi, Yuan, Zheng, Zhang, Jianwei, Zhang, Xingxuan, Zhang, Yichang, Zhang, Zhenru, Zhou, Chang, Zhou, Jingren, Zhou, Xiaohuan, Zhu, Tianhang
Alexander Pan, Jun Shern Chan, Andy Zou, Nathaniel Li, Steven Basart, Thomas Woodside, Jonathan Ng, Hanlin Zhang, Scott Emmons, Dan Hendrycks
Zheng, Lianmin, Chiang, Wei-Lin, Sheng, Ying, Zhuang, Siyuan, Wu, Zhanghao, Zhuang, Yonghao, Lin, Zi, Li, Zhuohan, Li, Dacheng, Xing, Eric P., Zhang, Hao, Gonzalez, Joseph E., Stoica, Ion
Li, Haonan, Zhang, Yixuan, Koto, Fajri, Yang, Yifei, Zhao, Hai, Gong, Yeyun, Duan, Nan, Baldwin, Timothy
Touvron, Hugo, Lavril, Thibaut, Izacard, Gautier, Martinet, Xavier, Lachaux, Marie-Anne, Lacroix, Timothée, Rozière, Baptiste, Goyal, Naman, Hambro, Eric, Azhar, Faisal, Rodriguez, Aurelien, Joulin, Armand, Grave, Edouard, Lample, Guillaume
Touvron, Hugo, Martin, Louis, Stone, Kevin, Albert, Peter, Almahairi, Amjad, Babaei, Yasmine, Bashlykov, Nikolay, Batra, Soumya, Bhargava, Prajjwal, Bhosale, Shruti, Bikel, Dan, Blecher, Lukas, Ferrer, Cristian Canton, Chen, Moya, Cucurull, Guillem, Esiobu, David, Fernandes, Jude, Fu, Jeremy, Fu, Wenyin, Fuller, Brian, Gao, Cynthia, Goswami, Vedanuj, Goyal, Naman, Hartshorn, Anthony, Hosseini, Saghar, Hou, Rui, Inan, Hakan, Kardas, Marcin, Kerkez, Viktor, Khabsa, Madian, Kloumann, Isabel, Korenev, Artem, Koura, Punit Singh, Lachaux, Marie-Anne, Lavril, Thibaut, Lee, Jenya, Liskovich, Diana, Lu, Yinghai, Mao, Yuning, Martinet, Xavier, Mihaylov, Todor, Mishra, Pushkar, Molybog, Igor, Nie, Yixin, Poulton, Andrew, Reizenstein, Jeremy, Rungta, Rashi, Saladi, Kalyan, Schelten, Alan, Silva, Ruan, Smith, Eric Michael, Subramanian, Ranjan, Tan, Xiaoqing Ellen, Tang, Binh, Taylor, Ross, Williams, Adina, Kuan, Jian Xiang, Xu, Puxin, Yan, Zheng, Zarov, Iliyan, Zhang, Yuchen, Fan, Angela, Kambadur, Melanie, Narang, Sharan, Rodriguez, Aurelien, Stojnic, Robert, Edunov, Sergey, Scialom, Thomas
Bai, Jinze, Bai, Shuai, Chu, Yunfei, Cui, Zeyu, Dang, Kai, Deng, Xiaodong, Fan, Yang, Ge, Wenbin, Han, Yu, Huang, Fei, Hui, Binyuan, Ji, Luo, Li, Mei, Lin, Junyang, Lin, Runji, Liu, Dayiheng, Liu, Gao, Lu, Chengqiang, Lu, Keming, Ma, Jianxin, Men, Rui, Ren, Xingzhang, Ren, Xuancheng, Tan, Chuanqi, Tan, Sinan, Tu, Jianhong, Wang, Peng, Wang, Shijie, Wang, Wei, Wu, Shengguang, Xu, Benfeng, Xu, Jin, Yang, An, Yang, Hao, Yang, Jian, Yang, Shusheng, Yao, Yang, Yu, Bowen, Yuan, Hongyi, Yuan, Zheng, Zhang, Jianwei, Zhang, Xingxuan, Zhang, Yichang, Zhang, Zhenru, Zhou, Chang, Zhou, Jingren, Zhou, Xiaohuan, Zhu, Tianhang
LLaMA (13B) · LLaMA 13B · LLaMA-13B · llama-13b