Tess-2.0-Llama-3-70B-v0.2: benchmark results
Provider: Other. Access: Open.
Unified ELO 1568 ± 17, rank #802 of 2928 rated models, from 14 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - MMLU | 79.51 | Accuracy (%) (5-shot) | 99.5 |
| Open LLM Leaderboard v1 - WinoGrande | 85.64 | Accuracy (%) (5-shot) | 98.7 |
| Open LLM Leaderboard v1 - GSM8K | 73.09 | Accuracy (%) (5-shot) | 98.5 |
| Open Chinese LLM - CMMLU | 73.61 | Accuracy (%) | 97.9 |
| Open Chinese LLM - HellaSwag | 69.72 | Accuracy (%) | 93.2 |
| Open Chinese LLM - GSM8K | 67.48 | Accuracy (%) | 91.1 |
| Open LLM Leaderboard v1 - HellaSwag | 88.26 | Normalized accuracy (%) (10-shot) | 90.5 |
| Open Chinese LLM Leaderboard | 67.69 | Average Score (%) | 88.7 |
| Open LLM Leaderboard v1 - ARC Challenge | 69.54 | Normalized accuracy (%) (25-shot) | 83.5 |
| Open Chinese LLM - ARC Challenge | 59.04 | Accuracy (%) | 82.5 |
| Open Chinese LLM - WinoGrande | 66.69 | Accuracy (%) | 80 |
| Open Chinese LLM - C-Eval Semantic | 86.37 | Accuracy (%) | 79.5 |
Interactive version: theaggregate.ai/model?slug=tess-2-0-llama-3-70b-v0-2 · How It Works · Data refreshed daily, snapshot 2026-09-23.