llama-3-cat-8B-instruct-v1: benchmark results
Provider: Meta.
Aggregate Rating 1397 ± 34, rank #6232 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - GSM8K | 60.5 | Accuracy (%) (5-shot) | 72.6 |
| Open LLM Leaderboard v1 - MMLU | 62.99 | Accuracy (%) (5-shot) | 57.8 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 50.8 | MC2 (%) (0-shot) | 49.5 |
| Open LLM Leaderboard v1 - WinoGrande | 75.93 | Accuracy (%) (5-shot) | 44.9 |
| Open LLM Leaderboard v1 - ARC Challenge | 59.04 | Normalized accuracy (%) (25-shot) | 41.9 |
| Open LLM Leaderboard v1 - HellaSwag | 79.2 | Normalized accuracy (%) (10-shot) | 37.1 |
Interactive version: theaggregate.ai/model?slug=llama-3-cat-8b-instruct-v1 · How It Works · Data refreshed daily, snapshot 2026-11-08.