autotrain-llama3-orpo-v2: benchmark results
Provider: Other. Released 2024-04-22.
Aggregate Rating 1387 ± 31, rank #1242 of 1635 rated models, from 17 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - MMLU | 67.14 | Accuracy (%) (5-shot) | 88.9 |
| Open LLM Leaderboard v1 - GSM8K | 66.03 | Accuracy (%) (5-shot) | 81.1 |
| Open LLM Leaderboard v1 - ARC Challenge | 62.12 | Normalized accuracy (%) (25-shot) | 56.1 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 52.2 | MC2 (%) (0-shot) | 54.9 |
| Open LLM Leaderboard - IFEval | 43.72 | Score | 46.6 |
| Open LLM Leaderboard v1 - WinoGrande | 76.01 | Accuracy (%) (5-shot) | 45.4 |
| Open LLM Leaderboard v1 - HellaSwag | 79.51 | Normalized accuracy (%) (10-shot) | 38.1 |
| Open LLM Leaderboard - MuSR | 37.92 | Score | 29 |
| Open LLM Leaderboard - MATH Level 5 | 4.68 | Score | 26.3 |
| Open LLM Leaderboard - MMLU-Pro | 22.18 | Score | 23 |
| Open LLM Leaderboard - GPQA | 26.68 | Score | 21.1 |
| Open LLM Leaderboard - BBH | 31.59 | Score | 9.8 |
Interactive version: theaggregate.ai/model?slug=autotrain-llama3-orpo-v2 · How It Works · Data refreshed daily, snapshot 2026-11-05.