Qwen Technical Report (arXiv 2309.16609) 28 Sep 2023
Capabilities
- MMLU 43.9
- C-Eval 50.7
- GSM8K 27.8
- BIG-Bench Hard 27.1
- HumanEval 14.6
- Chinese Tool-Use Benchmark 92
- Code Interpreter Benchmark 26.8
- HuggingFace Agent Benchmark 85.2
Qwen-1_8B.
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.
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| ARC-Challenge | 53.2% | #42 of 75 | Epoch AI | |
| BoolQ | 68% | #58 of 75 | Epoch AI | |
| PIQA | 73.3% | #54 of 58 | Epoch AI | |
| EQ-Bench v2 | 30.0 | #81 of 85 | Official leaderboard | |
| LAMBADA | 58.4% | #25 of 26 | Epoch AI | |
| MMLU | 43.9% | #124 of 127 | Model card | |
| BIG-Bench Hard | 27.1% | #70 of 71 | Model card | |
| C-Eval | 50.7% | #38 of 38 | Model card |
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| GSM8K | 27.8% | #85 of 87 | Model card |
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| HumanEval | 14.6% | #94 of 95 | Model card |
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| Chinese Tool-Use Benchmark | 92% | #4 of 4 | Model card | |
| Code Interpreter Benchmark | 26.8% | #4 of 4 | Model card | |
| HuggingFace Agent Benchmark | 85.2% | #3 of 3 | Model card |
's models in color, against every other model on the Epoch Capabilities Index, by release date.
Every result in the longer documents the lab published with it. 8 of them aren't in the launch post.