Llama-3-Aplite-Instruct-4x8B-MoE: benchmark results
Provider: Meta. Access: Open.
Aggregate Rating 1425 ± 34, rank #4914 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - MMLU | 67.47 | Accuracy (%) (5-shot) | 89.4 |
| Open LLM Leaderboard v1 - GSM8K | 61.87 | Accuracy (%) (5-shot) | 74.7 |
| Open LLM Leaderboard v1 - WinoGrande | 77.82 | Accuracy (%) (5-shot) | 58.7 |
| Open LLM Leaderboard v1 - ARC Challenge | 61.86 | Normalized accuracy (%) (25-shot) | 54.8 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 51.87 | MC2 (%) (0-shot) | 53.6 |
| Open LLM Leaderboard v1 - HellaSwag | 81.08 | Normalized accuracy (%) (10-shot) | 43.5 |
Interactive version: theaggregate.ai/model?slug=llama-3-aplite-instruct-4x8b-moe · How It Works · Data refreshed daily, snapshot 2026-11-08.