Tess-2.0-Llama-3-70B: benchmark results
Provider: Other. Access: Open.
Aggregate Rating 1543 ± 28, rank #1785 of 10916 rated models, from 14 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - MMLU | 79.75 | Accuracy (%) (5-shot) | 99.5 |
| Open LLM Leaderboard v1 - GSM8K | 74.6 | Accuracy (%) (5-shot) | 99.1 |
| Open LLM Leaderboard v1 - WinoGrande | 85.71 | Accuracy (%) (5-shot) | 98.8 |
| Open Chinese LLM - CMMLU | 72.71 | Accuracy (%) | 97 |
| Open Chinese LLM - HellaSwag | 70.34 | Accuracy (%) | 94.4 |
| Open LLM Leaderboard v1 - HellaSwag | 88.46 | Normalized accuracy (%) (10-shot) | 92 |
| Open Chinese LLM - GSM8K | 67.63 | Accuracy (%) | 91.6 |
| Open Chinese LLM - ARC Challenge | 60.92 | Accuracy (%) | 89.6 |
| Open Chinese LLM Leaderboard | 67.9 | Official Nonzero-Task Mean (%) | 89.6 |
| Open LLM Leaderboard v1 - ARC Challenge | 70.31 | Normalized accuracy (%) (25-shot) | 85.6 |
| Open Chinese LLM - C-Eval Semantic | 87.05 | Accuracy (%) | 83.1 |
| Open Chinese LLM - WinoGrande | 67.01 | Accuracy (%) | 80.9 |
Interactive version: theaggregate.ai/model?slug=tess-2-0-llama-3-70b · How It Works · Data refreshed daily, snapshot 2026-11-08.