Swallow - Pre-trained English - HellaSwag: leaderboard
Metric: Accuracy (%). Source: swallow-llm.github.io. 50 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Llama 3.1 70B | 69 |
| 2 | Llama 4 Scout Base | 68.9 |
| 3 | Qwen 2.5 72B | 68.5 |
| 4 | Gemma 2 27B | 67.5 |
| 5 | gemma-3-27B-pt | 66.7 |
| 6 | Qwen 2.5 32B | 65.6 |
| 7 | Qwen 2.5 14B | 64.2 |
| 8 | gemma-3-12B-pt | 63.7 |
| 9 | Qwen3-30B-A3B-Base | 63.1 |
| 10 | sarashina2-70B | 62.8 |
| 11 | Gemma 2 9B | 62.6 |
| 12 | Qwen3-14B-Base | 62.5 |
| 13 | Llama 3.1 8B | 60.9 |
| 14 | Qwen 2.5 7B | 60 |
| 15 | Falcon3-10B-Base | 59.6 |
Interactive version: theaggregate.ai/benchmark?slug=swallow-pre-trained-english-hellaswag · How It Works · Data refreshed daily, snapshot 2026-09-19.