Meta / MODEL EVIDENCE

Llama 2-chat (13B)

3 benchmarks · 13 observations · 3 sources

Scores at a glance

3 benchmarks · large dot: Llama 2-chat (13B); small dots: closest models where reported

14.6660.91

Llama 2-Chat 13B · HaluEval 2.0 · Biomedicine · MaHR · published main comparison ↗

9 more reported results

17.9% · Llama 2-Chat 13B · HaluEval 2.0 · Biomedicine · MiHR · published main comparison · The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ↗

53.48% · Llama 2-Chat 13B · HaluEval 2.0 · Finance · MaHR · published main comparison · The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ↗

14.53% · Llama 2-Chat 13B · HaluEval 2.0 · Finance · MiHR · published main comparison · The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ↗

39.11% · Llama 2-Chat 13B · HaluEval 2.0 · Science · MaHR · published main comparison · The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ↗

10.37% · Llama 2-Chat 13B · HaluEval 2.0 · Science · MiHR · published main comparison · The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ↗

62.12% · Llama 2-Chat 13B · HaluEval 2.0 · Education · MaHR · published main comparison · The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ↗

19.3% · Llama 2-Chat 13B · HaluEval 2.0 · Education · MiHR · published main comparison · The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ↗

79.19% · Llama 2-Chat 13B · HaluEval 2.0 · Open Domain · MaHR · published main comparison · The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ↗

30.44% · Llama 2-Chat 13B · HaluEval 2.0 · Open Domain · MiHR · published main comparison · The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ↗

Closest models by score

Similar positions on shared benchmark leaderboards. Smaller gaps are closer.

There are not enough shared scored settings to identify close comparisons reliably.

Sources

Every plotted observation links to its evaluation. Reported configurations, benchmark versions and task subsets can differ; similarity describes shared scores, not training lift.

  1. FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models — published result table ↗

    Jiang, Yuxin, Wang, Yufei, Zeng, Xingshan, Zhong, Wanjun, Li, Liangyou, Mi, Fei et al. · 2023

    All 10 authors

    Jiang, Yuxin, Wang, Yufei, Zeng, Xingshan, Zhong, Wanjun, Li, Liangyou, Mi, Fei, Shang, Lifeng, Jiang, Xin, Liu, Qun, Wang, Wei

  2. The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models — published result table ↗

    Li, Junyi, Chen, Jie, Ren, Ruiyang, Cheng, Xiaoxue, Zhao, Wayne Xin, Nie, Jian-Yun et al. · 2024

    All 7 authors

    Li, Junyi, Chen, Jie, Ren, Ruiyang, Cheng, Xiaoxue, Zhao, Wayne Xin, Nie, Jian-Yun, Wen, Ji-Rong

  3. ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic — published result table ↗

    Koto, Fajri, Li, Haonan, Shatnawi, Sara, Doughman, Jad, Sadallah, Abdelrahman Boda, Alraeesi, Aisha et al. · 2024

    All 13 authors

    Koto, Fajri, Li, Haonan, Shatnawi, Sara, Doughman, Jad, Sadallah, Abdelrahman Boda, Alraeesi, Aisha, Almubarak, Khalid, Alyafeai, Zaid, Sengupta, Neha, Shehata, Shady, Habash, Nizar, Nakov, Preslav, Baldwin, Timothy

Names used in source tables

LLaMA2-Chat-13B · LLaMA2-chat (13B) · Llama 2-Chat 13B