LLaVA-InternLM2-7B (QLoRA): benchmark results
Provider: LLaVA Team. Released 2024-03-05. Access: Open.
Aggregate Rating 1328 ± 38, rank #8199 of 10916 rated models, from 404 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| OpenVLM MMT-Bench - Counting By Reasoning | 95 | Score (%) | 98.8 |
| OpenVLM MMT-Bench - Helmet Anomaly Detection | 95 | Score (%) | 97.1 |
| OpenVLM MMT-Bench - Referring Detection | 75 | Score (%) | 95.6 |
| OpenVLM MMT-Bench - Chemical Apparatus Recognition | 75 | Score (%) | 94.7 |
| OpenVLM MMT-Bench - Pixel Recognition | 75 | Score (%) | 94.7 |
| OpenVLM MMT-Bench - Color Assimilation | 75 | Score (%) | 93 |
| OpenVLM MMT-Bench - Artwork Emotion Recognition | 60 | Score (%) | 91.7 |
| OpenVLM MMBench V1.1 EN - Identity Reasoning | 98.7 | Accuracy (%) | 91.5 |
| OpenVLM MME - Existence | 200 | Score | 89.7 |
| OpenVLM MMT-Bench - VI | 64.8 | Score (%) | 88.8 |
| OpenVLM MMT-Bench - Facial Expression Recognition | 70 | Score (%) | 88.6 |
| OpenVLM MMMU - Architecture and Engineering | 50 | Accuracy (%) | 88.3 |
Interactive version: theaggregate.ai/model?slug=llava-internlm2-7b-qlora · How It Works · Data refreshed daily, snapshot 2026-11-08.