InternVL2.5-1B
InternVL2.5-1B.
Shanghai AI Lab Released December 5th, 2024 Family InternVL2.5 The lab's model card Compare with others 14
Benchmarks with a score
0
Ranked first, out of five or more models
0
In the top three
Shanghai AI Lab Dec 2024 InternVL2.5-1B
Open weights Small
No Epoch Capabilities Index score yet
- MM-Vet 47.2% #97 /164
- CoreCognition 49.1% #97 /119
- SpaCE-10 35.3% #28 /36
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 | |
|---|---|---|---|---|
| MMBench-CN v1.1 | 64.8% | #126 of 178 | Official leaderboard |
Vision, audio and robotics
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| MMStar | 51.3% | #99 of 173 | Official leaderboard | |
| MM-Vet | 47.2% | #97 of 164 | Official leaderboard | |
| MMBench-EN v1.1 | 68.2% | #131 of 178 | Official leaderboard | |
| SpaCE-10 | 35.3% | #28 of 36 | Official leaderboard | |
| CoreCognition | 49.1% | #97 of 119 | Official leaderboard | |
| MMSI-Bench | 26.1% | #23 of 28 | Official leaderboard | |
| MMMU | 40.9% | #113 of 136 | Official leaderboard | |
| ChartQA Pro | 9.33% | #6 of 7 | Official leaderboard | |
| CharXiv (DQ) | 38.4% | #58 of 67 | Official leaderboard | |
| CharXiv | 19% | #67 of 77 | Official leaderboard | |
| MATH-Vision (MathVision) | 14.4% | #99 of 105 | Official leaderboard | |
| MMMU-Pro | 19.4% | #54 of 57 | Official leaderboard |
Other
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| OpenVLM Leaderboard | 54.9 | #108 of 173 | Official leaderboard |