ScienceQA ↗66.2%
InternVL-Chat-ViT-6B-Vicuna-7B · ScienceQA · Score · % ↗
Reported model / MODEL EVIDENCE
InternVL-Chat-ViT-6B-Vicuna-7B
1 benchmarks · 1 observations · 1 sources · released 2023-12-25
Scores at a glance
1 benchmarks · large dot: InternVL-Chat-ViT-6B-Vicuna-7B; small dots: closest models where reported
Closest models by score
Similar positions on shared benchmark leaderboards. Smaller gaps are closer.
1 of 1 shared benchmark comparisons
1 of 1 shared benchmark comparisons
1 of 1 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.
- VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks ↗
All 13 authors
Jiannan Wu, Muyan Zhong, Sen Xing, Zeqiang Lai, Zhaoyang Liu, Zhe Chen, Wenhai Wang, Xizhou Zhu, Lewei Lu, Tong Lu, Ping Luo, Yu Qiao, Jifeng Dai
Names used in source tables
InternVL-Chat-ViT-6B-Vicuna-7B