SeaEval - Fundamental NLP Tasks - QNLI (Zero-Shot) — leaderboard
Metric: Accuracy (%). Source: huggingface.co. 24 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 2.5 72B Instruct | 90.83 |
| 2 | Qwen 2.5 14B Instruct | 90.79 |
| 3 | Gemma 2 9B (IT) | 90.7 |
| 4 | Qwen 2.5 32B Instruct | 90.63 |
| 5 | Llama 3.1 70B Instruct | 90.26 |
| 6 | Qwen 2 72B Instruct | 88.87 |
| 7 | Llama 3 70B Instruct | 87.68 |
| 8 | Qwen 2.5 7B Instruct | 86.53 |
| 9 | Qwen 2 7B Instruct | 81.55 |
| 10 | Gemma 2 2B (IT) | 77.92 |
| 11 | Qwen 2.5 3B Instruct | 76.46 |
| 12 | SeaLLMs-v3-7B-Chat | 71.59 |
| 13 | Sailor2-8B-Chat | 68.22 |
| 14 | Qwen 2.5 1.5B Instruct | 61.49 |
| 15 | Llama 3.1 8B Instruct | 61.29 |
Interactive version: theaggregate.ai/benchmark?slug=seaeval-fundamental-nlp-tasks-qnli-zero-shot · How the rankings work · Data refreshed daily, snapshot 2026-07-22.