llava-v1.6-vicuna-7b
llava-v1.6-vicuna-7b.
Released January 31st, 2024 Compare with others
17
Benchmarks with a score
0
Ranked first, out of five or more models
0
In the top three
Unknown lab Jan 2024
llava-v1.6-vicuna-7b
No Epoch Capabilities Index score yet
- MM-Vet 40.2% #123 /164
- SEED-Bench-2-Plus 51.6% #102 /136
- A-Bench 65.8% #94 /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 | |
|---|---|---|---|---|
| MMBench-CN v1.1 | 59.4% | #144 of 178 | Official leaderboard |
Vision, audio and robotics
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| MMIU | 22.2% | #5 of 10 | Official leaderboard | |
| ScienceQA | 70.6% | #10 of 17 | Claim in Phi-3 Technical Report: A Highly Capable Language Model L…, via Epoch AI | |
| WildVision | 26.4 | #9 of 14 | Official leaderboard | |
| NaturalBench | 15% | #4 of 6 | Official leaderboard | |
| MM-Vet | 40.2% | #123 of 164 | Official leaderboard | |
| SEED-Bench-2-Plus | 51.6% | #102 of 136 | Official leaderboard | |
| MMBench | 69.2% | #117 of 155 | Official leaderboard | |
| VCR (Visual Caption Restoration) | 16.7% | #32 of 42 | Official leaderboard | |
| MMBench-EN v1.1 | 66.5% | #140 of 178 | Official leaderboard | |
| A-Bench | 65.8% | #94 of 116 | Official leaderboard | |
| CCBench (MMBench Chinese Culture) | 24.3% | #127 of 152 | Official leaderboard | |
| MathVista | 34.6% | #39 of 43 | Official leaderboard | |
| MMStar | 37.6% | #157 of 173 | Official leaderboard | |
| MMMU | 35.8% | #127 of 136 | Official leaderboard | |
| MMMU-Pro | 16.1% | #57 of 57 | Official leaderboard |
Other
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| OpenVLM Leaderboard | 44.8 | #147 of 173 | Official leaderboard |