Llama3-ChatQA-1.5-8B — benchmark results
Provider: Meta. Released 2024-04-28. Access: Open.
Unified ELO 1334 ± 28, rank #1464 of 1776 rated models, from 15 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open Chinese LLM - WinoGrande | 63.85 | Accuracy (%) | 61.9 |
| Open PL LLM - Generative | 52.33 | Average Generative Score (%) | 57 |
| Open PL LLM Leaderboard | 44.93 | Average Score (%) | 52.4 |
| Open Chinese LLM - CMMLU | 53.35 | Accuracy (%) | 49.3 |
| Open PL LLM - Multiple Choice | 35.3 | Average Multiple-Choice Score (%) | 44.1 |
| Open PL LLM - RAG | 51.41 | Average RAG Score (%) | 41.6 |
| Open Chinese LLM - HellaSwag | 57.87 | Accuracy (%) | 35.3 |
| CyberMetric | 51.41 | Accuracy (%) | 33.3 |
| ChineseSafe Benchmark | 61.28 | Accuracy (%) | 31.5 |
| Open Chinese LLM - C-Eval Semantic | 61.17 | Accuracy (%) | 23.1 |
| Polish EQ-Bench | 40.55 | EQ-Bench Score | 21.8 |
| Open Chinese LLM - ARC Challenge | 45.56 | Accuracy (%) | 16.9 |
Interactive version: theaggregate.ai/model?slug=llama3-chatqa-1-5-8b · How the rankings work · Data refreshed daily, snapshot 2026-07-22.