DeepSeek-VL-1.3B-Chat
DeepSeek-VL-1.3B-Chat.
13
Benchmarks with a score
0
Ranked first, out of five or more models
0
In the top three
DeepSeek Mar 2024 DeepSeek-VL-1.3B-Chat
Open weights Small
No Epoch Capabilities Index score yet
- MM-Vet 29.2% #156 /164
- SEED-Bench-2-Plus 43.7% #121 /136
- CoreCognition 41.1% #109 /119
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 | 61.9% | #138 of 178 | Official leaderboard |
Vision, audio and robotics
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| MMIU | 23.2% | #4 of 10 | Official leaderboard | |
| CCBench (MMBench Chinese Culture) | 37.6% | #93 of 152 | Official leaderboard | |
| VCR (Visual Caption Restoration) | 17.4% | #31 of 42 | Official leaderboard | |
| MMBench-EN v1.1 | 65.6% | #143 of 178 | Official leaderboard | |
| MMBench | 66.4% | #127 of 155 | Official leaderboard | |
| MMStar | 39.9% | #143 of 173 | Official leaderboard | |
| SEED-Bench-2-Plus | 43.7% | #121 of 136 | Official leaderboard | |
| A-Bench | 62.8% | #106 of 116 | Official leaderboard | |
| CoreCognition | 41.1% | #109 of 119 | Official leaderboard | |
| MM-Vet | 29.2% | #156 of 164 | Official leaderboard | |
| We-Math | 5.90% | #21 of 21 | Official leaderboard |
Other
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| OpenVLM Leaderboard | 39.7 | #161 of 173 | Official leaderboard |