Llama 2 13B Instruct V0.2 [Adapter]: benchmark results
Provider: Meta. Access: Open.
Aggregate Rating 1360 ± 35, rank #7443 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - WinoGrande | 77.82 | Accuracy (%) (5-shot) | 58.7 |
| Open LLM Leaderboard v1 - ARC Challenge | 60.58 | Normalized accuracy (%) (25-shot) | 48.4 |
| Open LLM Leaderboard v1 - HellaSwag | 81.96 | Normalized accuracy (%) (10-shot) | 48 |
| Open LLM Leaderboard v1 - MMLU | 55.46 | Accuracy (%) (5-shot) | 36.3 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 45.71 | MC2 (%) (0-shot) | 31.9 |
| Open LLM Leaderboard v1 - GSM8K | 9.33 | Accuracy (%) (5-shot) | 29.9 |
Interactive version: theaggregate.ai/model?slug=llama-2-13b-instruct-v0-2-adapter · How It Works · Data refreshed daily, snapshot 2026-11-08.