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Llama 2-70b / chat

10 benchmarks · 24 observations · 9 sources

Scores at a glance

10 benchmarks · large dot: Llama 2-70b / chat; small dots: closest models where reported

0.034.01

llama-2-70b / chat · AgentBench & ToolBench · AgentBench overall · Original standard test set ↗

48.480.4

Llama2 70b Chat · MuSR (Multistep Soft Reasoning) · Accuracy · Murder mysteries · CoT+ ↗

2 more reported results

42.2% · Llama2 70b Chat · MuSR (Multistep Soft Reasoning) · Accuracy · Object placement · CoT+ · MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning ↗

44.8% · Llama2 70b Chat · MuSR (Multistep Soft Reasoning) · Accuracy · Team allocation · CoT+ · MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning ↗

0.865.8

Llama-2-70b-chat · HarmBench · HarmBench harmful compliance · SORRY-Bench paper · cross-benchmark comparison ↗

078

Llama-2-70b-chat · StrongREJECT · StrongREJECT harmful compliance · SORRY-Bench paper · cross-benchmark comparison ↗

WildBench ↗39.2 points
6.265.3

Llama-2-70B-chat · WildBench · WB-Score · reported comparison ↗

72.485.5

Llama-2-70b-chat · InFoBench · Decomposed requirement following rate · GPT-4-1106 evaluator ↗

04.2

Llama-2-70b-chat · WikiContradict · WikiContradict HumanEval · Template 1 · All · fully correct · human annotation ↗

8 more reported results

0% · Llama-2-70b-chat · WikiContradict · WikiContradict HumanEval · Template 1 · Explicit · fully correct · human annotation · WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia ↗

0% · Llama-2-70b-chat · WikiContradict · WikiContradict HumanEval · Template 1 · Implicit · fully correct · human annotation · WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia ↗

4.2% · Llama-2-70b-chat · WikiContradict · WikiContradict HumanEval · Template 4 · All · fully correct · human annotation · WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia ↗

3.3% · Llama-2-70b-chat · WikiContradict · WikiContradict HumanEval · Template 4 · Explicit · fully correct · human annotation · WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia ↗

5.9% · Llama-2-70b-chat · WikiContradict · WikiContradict HumanEval · Template 4 · Implicit · fully correct · human annotation · WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia ↗

22.9% · Llama-2-70b-chat · WikiContradict · WikiContradict HumanEval · Template 5 · All · fully correct · human annotation · WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia ↗

26.7% · Llama-2-70b-chat · WikiContradict · WikiContradict HumanEval · Template 5 · Explicit · fully correct · human annotation · WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia ↗

17.6% · Llama-2-70b-chat · WikiContradict · WikiContradict HumanEval · Template 5 · Implicit · fully correct · human annotation · WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia ↗

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. AgentBench: Evaluating LLMs as Agents — published result table ↗

    Xiao Liu, Hao Yu, Hanchen Zhang, Yifan Xu, Xuanyu Lei, Hanyu Lai et al. · 2023

    All 22 authors

    Xiao Liu, Hao Yu, Hanchen Zhang, Yifan Xu, Xuanyu Lei, Hanyu Lai, Yu Gu, Hangliang Ding, Kaiwen Men, Kejuan Yang, Shudan Zhang, Xiang Deng, Aohan Zeng, Zhengxiao Du, Chenhui Zhang, Sheng Shen, Tianjun Zhang, Yu Su, Huan Sun, Minlie Huang, Yuxiao Dong, Jie Tang

  2. MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning — published result table ↗

    Zayne Sprague, Xi Ye, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett · 2023

  3. InFoBench: Evaluating Instruction Following Ability in Large Language Models — published result table ↗

    Yiwei Qin, Kaiqiang Song, Yebowen Hu, Wenlin Yao, Sangwoo Cho, Xiaoyang Wang et al. · 2024

    All 10 authors

    Yiwei Qin, Kaiqiang Song, Yebowen Hu, Wenlin Yao, Sangwoo Cho, Xiaoyang Wang, Xuansheng Wu, Fei Liu, Pengfei Liu, Dong Yu

  4. CriticBench: Benchmarking LLMs for Critique-Correct Reasoning — published result table ↗

    Zicheng Lin, Zhibin Gou, Tian Liang, Ruilin Luo, Haowei Liu, Yujiu Yang · 2024

  5. WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild — published result table ↗

    Lin, Bill Yuchen, Deng, Yuntian, Chandu, Khyathi, Brahman, Faeze, Ravichander, Abhilasha, Pyatkin, Valentina et al. · 2024

    All 9 authors

    Lin, Bill Yuchen, Deng, Yuntian, Chandu, Khyathi, Brahman, Faeze, Ravichander, Abhilasha, Pyatkin, Valentina, Dziri, Nouha, Bras, Ronan Le, Choi, Yejin

  6. MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures — published result table ↗

    Jinjie Ni, Fuzhao Xue, Xiang Yue, Yuntian Deng, Mahir Shah, Kabir Jain et al. · 2024

    All 8 authors

    Jinjie Ni, Fuzhao Xue, Xiang Yue, Yuntian Deng, Mahir Shah, Kabir Jain, Graham Neubig, Yang You

  7. WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia — published result table ↗

    Hou, Yufang, Pascale, Alessandra, Carnerero-Cano, Javier, Tchrakian, Tigran, Marinescu, Radu, Daly, Elizabeth et al. · 2024

    All 8 authors

    Hou, Yufang, Pascale, Alessandra, Carnerero-Cano, Javier, Tchrakian, Tigran, Marinescu, Radu, Daly, Elizabeth, Padhi, Inkit, Sattigeri, Prasanna

  8. SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal — published result table ↗

    Tinghao Xie, Xiangyu Qi, Yi Zeng, Yangsibo Huang, Udari Madhushani Sehwag, Kaixuan Huang et al. · 2024

    All 16 authors

    Tinghao Xie, Xiangyu Qi, Yi Zeng, Yangsibo Huang, Udari Madhushani Sehwag, Kaixuan Huang, Luxi He, Boyi Wei, Dacheng Li, Ying Sheng, Ruoxi Jia, Bo Li, Kai Li, Danqi Chen, Peter Henderson, Prateek Mittal

  9. Are large language models superhuman chemists? — published result table ↗

    Adrian Mirza, Nawaf Alampara, Sreekanth Kunchapu, Martiño Ríos-García, Benedict Emoekabu, Aswanth Krishnan et al. · 2024

    All 35 authors

    Adrian Mirza, Nawaf Alampara, Sreekanth Kunchapu, Martiño Ríos-García, Benedict Emoekabu, Aswanth Krishnan, Tanya Gupta, Mara Schilling-Wilhelmi, Macjonathan Okereke, Anagha Aneesh, Amir Mohammad Elahi, Mehrdad Asgari, Juliane Eberhardt, Hani M. Elbeheiry, María Victoria Gil, Maximilian Greiner, Caroline T. Holick, Christina Glaubitz, Tim Hoffmann, Abdelrahman Ibrahim, Lea C. Klepsch, Yannik Köster, Fabian Alexander Kreth, Jakob Meyer, Santiago Miret, Jan Matthias Peschel, Michael Ringleb, Nicole Roesner, Johanna Schreiber, Ulrich S. Schubert, Leanne M. Stafast, Dinga Wonanke, Michael Pieler, Philippe Schwaller, Kevin Maik Jablonka

Names used in source tables

LLaMA-2-70B-Chat · LLaMa-2-70b chat · Llama-2-70B Chat · Llama-2-70B-chat · Llama-2-70b-chat · Llama2 70b Chat · llama-2-70b / chat