llama-3-chinese-8B-instruct-v2: benchmark results
Provider: Meta. Access: Open.
Unified ELO 1475 ± 16, rank #1510 of 2928 rated models, from 14 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - MMLU | 66.48 | Accuracy (%) (5-shot) | 87.4 |
| Open LLM Leaderboard v1 - GSM8K | 60.58 | Accuracy (%) (5-shot) | 72.8 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 53.93 | MC2 (%) (0-shot) | 61.2 |
| Open LLM Leaderboard v1 - ARC Challenge | 62.63 | Normalized accuracy (%) (25-shot) | 59.1 |
| Open LLM Leaderboard v1 - WinoGrande | 76.72 | Accuracy (%) (5-shot) | 50.2 |
| Open Chinese LLM - C-Eval Semantic | 69.2 | Accuracy (%) | 49.3 |
| Open Chinese LLM - GSM8K | 44.81 | Accuracy (%) | 46.1 |
| Open Chinese LLM - CMMLU | 52.9 | Accuracy (%) | 45.1 |
| Open LLM Leaderboard v1 - HellaSwag | 79.72 | Normalized accuracy (%) (10-shot) | 39 |
| Open Chinese LLM Leaderboard | 54.96 | Average Score (%) | 36.8 |
| Open Chinese LLM - HellaSwag | 57.66 | Accuracy (%) | 34.1 |
| Open Chinese LLM - TruthfulQA MC | 52.02 | Accuracy (%) | 33.2 |
Interactive version: theaggregate.ai/model?slug=llama-3-chinese-8b-instruct-v2 · How It Works · Data refreshed daily, snapshot 2026-09-23.