Qwen2-VL-2B-Instruct
Qwen2-VL-2B-Instruct places in the top three on VCR (Visual Caption Restoration).
15
Benchmarks with a score
0
Ranked first, out of five or more models
1
In the top three
Qwen2-VL-2B-Instruct
Open weights Small
No Epoch Capabilities Index score yet
- VisualPuzzles 31.3% #18 /29
- Vectara Hallucination Leaderboard (HHEM) 8.30% #28 /148
- A-Bench 71.3% #61 /116
Where it ranks
Its best score on each benchmark, and where that ranks among every model with a score there. We rank each model once, at its best setting.
Knowledge and language
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| Vectara Hallucination Leaderboard (HHEM) | 8.30% | #28 of 148 | Official leaderboard | |
| MMBench-CN v1.1 | 71.2% | #95 of 178 | Official leaderboard |
Vision, audio and robotics
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| VCR (Visual Caption Restoration) | 61.3% | #2 of 42 | Official leaderboard | |
| CCBench (MMBench Chinese Culture) | 53.7% | #55 of 152 | Official leaderboard | |
| A-Bench | 71.3% | #61 of 116 | Official leaderboard | |
| MMBench | 74.6% | #83 of 155 | Official leaderboard | |
| MMBench-EN v1.1 | 73.2% | #96 of 178 | Official leaderboard | |
| TOMATO | 26% | #13 of 22 | Official leaderboard | |
| VisualPuzzles | 31.3% | #18 of 29 | Official leaderboard | |
| MMStar | 47.5% | #114 of 173 | Official leaderboard | |
| CharXiv | 24.5% | #58 of 77 | Official leaderboard | |
| MEGA-Bench | 22.3% | #18 of 22 | Official leaderboard | |
| MMVU | 36.5% | #23 of 28 | Official leaderboard | |
| MATH-Vision (MathVision) | 12.4% | #100 of 105 | Official leaderboard |
Other
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| OpenVLM Leaderboard | 57.3 | #98 of 173 | Official leaderboard |