Llama-3-Instruct-8B-SPPO-Iter2 — benchmark results
Provider: Meta. Released 2024-06-25. Access: Open.
Unified ELO 1383 ± 30, rank #1301 of 1776 rated models, from 15 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard - IFEval | 69.89 | Score | 82.8 |
| Open Korean LLM Leaderboard | 401.62 | Average Score (%) | 77.5 |
| Open Chinese LLM - GSM8K | 52.31 | Accuracy (%) | 71.8 |
| Open Chinese LLM - TruthfulQA MC | 55.54 | Accuracy (%) | 63.5 |
| Open LLM Leaderboard - MMLU-Pro | 29.91 | Score | 59.5 |
| Open LLM Leaderboard - BBH | 29.87 | Score | 51.2 |
| Open Chinese LLM - CMMLU | 53.31 | Accuracy (%) | 49 |
| Open LLM Leaderboard - MATH Level 5 | 10.35 | Score | 48.5 |
| Open Chinese LLM Leaderboard | 56.42 | Average Score (%) | 46.9 |
| Open Chinese LLM - C-Eval Semantic | 68.56 | Accuracy (%) | 46 |
| Open Chinese LLM - ARC Challenge | 49.23 | Accuracy (%) | 38 |
| Open Chinese LLM - WinoGrande | 61.4 | Accuracy (%) | 26.9 |
Interactive version: theaggregate.ai/model?slug=llama-3-instruct-8b-sppo-iter2 · How the rankings work · Data refreshed daily, snapshot 2026-07-22.