ScienceQA ↗54.44%
LLaMA-Adapter-V2 · ScienceQA · Score · % ↗
Meta / MODEL EVIDENCE
LLaMA-Adapter-V2
2 benchmarks · 3 observations · 2 sources
Scores at a glance
2 benchmarks · large dot: LLaMA-Adapter-V2; small dots: closest models where reported
MME & MME-RealWorld ↗1328.39 points
LLaMA-Adapter V2 · MME & MME-RealWorld · perception score · Official benchmark repository · published comparison ↗
1 more reported result
356.43 points · LLaMA-Adapter V2 · MME & MME-RealWorld · cognition score · Official benchmark repository · published comparison · MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models ↗
Closest models by score
Similar positions on shared benchmark leaderboards. Smaller gaps are closer.
2 of 2 shared benchmark comparisons
2 of 2 shared benchmark comparisons
2 of 2 shared benchmark comparisons
How similarity is measured
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.
Sources
Every plotted observation links to its evaluation. Reported configurations, benchmark versions and task subsets can differ; similarity describes shared scores, not training lift.
- MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models — published result table ↗
All 14 authors
Chaoyou Fu, Peixian Chen, Yunhang Shen, Yulei Qin, Mengdan Zhang, Xu Lin, Jinrui Yang, Xiawu Zheng, Ke Li, Xing Sun, Yunsheng Wu, Rongrong Ji, Caifeng Shan, Ran He
- ScienceQA — Science Question Answering leaderboard ↗
Names used in source tables
LLaMA-Adapter V2 · LLaMA-Adapter-V2