llama-3-chinese-8B-instruct: benchmark results
Provider: Meta. Access: Open.
Unified ELO 1461 ± 16, rank #1626 of 2928 rated models, from 14 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 55.15 | MC2 (%) (0-shot) | 64.3 |
| Open Chinese LLM - WinoGrande | 63.69 | Accuracy (%) | 59.9 |
| Open LLM Leaderboard v1 - GSM8K | 44.43 | Accuracy (%) (5-shot) | 58.5 |
| Open LLM Leaderboard v1 - MMLU | 63.1 | Accuracy (%) (5-shot) | 58.4 |
| Open LLM Leaderboard v1 - ARC Challenge | 61.26 | Normalized accuracy (%) (25-shot) | 52 |
| Open Chinese LLM - C-Eval Semantic | 69.49 | Accuracy (%) | 50.1 |
| Open Chinese LLM - HellaSwag | 59.08 | Accuracy (%) | 42.9 |
| Open LLM Leaderboard v1 - HellaSwag | 80.24 | Normalized accuracy (%) (10-shot) | 40.5 |
| Open LLM Leaderboard v1 - WinoGrande | 75.06 | Accuracy (%) (5-shot) | 40.1 |
| Open Chinese LLM - CMMLU | 51.39 | Accuracy (%) | 38.3 |
| Open Chinese LLM - TruthfulQA MC | 52.52 | Accuracy (%) | 37.7 |
| Open Chinese LLM Leaderboard | 53.98 | Average Score (%) | 32 |
Interactive version: theaggregate.ai/model?slug=llama-3-chinese-8b-instruct · How It Works · Data refreshed daily, snapshot 2026-09-23.