llama-2-7b / chat · AgentBench & ToolBench · AgentBench overall · Original standard test set ↗
Meta / MODEL EVIDENCE
Llama 2-7b / chat
7 benchmarks · 12 observations · 7 sources
Scores at a glance
7 benchmarks · large dot: Llama 2-7b / chat; small dots: closest models where reported
Llama2 7b Chat · MuSR (Multistep Soft Reasoning) · Accuracy · Murder mysteries · CoT+ ↗
2 more reported results
29.3% · Llama2 7b Chat · MuSR (Multistep Soft Reasoning) · Accuracy · Object placement · CoT+ · MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning ↗
36.8% · Llama2 7b Chat · MuSR (Multistep Soft Reasoning) · Accuracy · Team allocation · CoT+ · MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning ↗
Llama2-7b-chat · L-Eval & LongBench (v1) · closed-ended average · exam evaluation ↗
LLaMa-2-7b chat · CriticBench · Critiquing · zero-shot answer-only ↗
2 more reported results
46.81% · LLaMa-2-7b chat · CriticBench · Critiquing · zero-shot CoT · CriticBench: Benchmarking LLMs for Critique-Correct Reasoning ↗
21.49% · LLaMa-2-7b chat · CriticBench · Correction · zero-shot CoT · CriticBench: Benchmarking LLMs for Critique-Correct Reasoning ↗
Llama-2-7b-chat · HarmBench · HarmBench harmful compliance · SORRY-Bench paper · cross-benchmark comparison ↗
Llama-2-7B-chat · WildBench · WB-Score · reported comparison ↗
LLaMA-2-7B-Chat · MixEval & MixEval-Hard · accuracy · original comparison ↗
1 more reported result
61.7% · LLaMA-2-7B-Chat · MixEval & MixEval-Hard · accuracy · original comparison · MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures ↗
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.
- L-Eval: Instituting Standardized Evaluation for Long Context Language Models — published result table ↗
All 8 authors
Chenxin An, Shansan Gong, Ming Zhong, Xingjian Zhao, Mukai Li, Jun Zhang, Lingpeng Kong, Xipeng Qiu
- AgentBench: Evaluating LLMs as Agents — published result table ↗
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
- MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning — published result table ↗
- CriticBench: Benchmarking LLMs for Critique-Correct Reasoning — published result table ↗
- WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild — published result table ↗
All 9 authors
Lin, Bill Yuchen, Deng, Yuntian, Chandu, Khyathi, Brahman, Faeze, Ravichander, Abhilasha, Pyatkin, Valentina, Dziri, Nouha, Bras, Ronan Le, Choi, Yejin
- MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures — published result table ↗
All 8 authors
Jinjie Ni, Fuzhao Xue, Xiang Yue, Yuntian Deng, Mahir Shah, Kabir Jain, Graham Neubig, Yang You
- SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal — published result table ↗
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
Names used in source tables
LLaMA-2-7B-Chat · LLaMa-2-7b chat · Llama-2-7B-chat · Llama-2-7b-chat · Llama2 7b Chat · Llama2-7b-chat · llama-2-7b / chat