llama-3-cat-8B-instruct: benchmark results
Provider: Meta.
Aggregate Rating 1398 ± 34, rank #6218 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - GSM8K | 60.58 | Accuracy (%) (5-shot) | 72.7 |
| Open LLM Leaderboard v1 - MMLU | 62.99 | Accuracy (%) (5-shot) | 57.8 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 50.85 | MC2 (%) (0-shot) | 49.7 |
| Open LLM Leaderboard v1 - ARC Challenge | 59.39 | Normalized accuracy (%) (25-shot) | 43.2 |
| Open LLM Leaderboard v1 - WinoGrande | 75.61 | Accuracy (%) (5-shot) | 43.1 |
| Open LLM Leaderboard v1 - HellaSwag | 79.23 | Normalized accuracy (%) (10-shot) | 37.2 |
Interactive version: theaggregate.ai/model?slug=llama-3-cat-8b-instruct · How It Works · Data refreshed daily, snapshot 2026-11-08.