Llama 2 13B Base Eli5 Wiki 1024 R 64 Alpha 16 [Adapter]: benchmark results
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Aggregate Rating 1356 ± 35, rank #7548 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - HellaSwag | 82.43 | Normalized accuracy (%) (10-shot) | 51.2 |
| Open LLM Leaderboard v1 - WinoGrande | 76.56 | Accuracy (%) (5-shot) | 49 |
| Open LLM Leaderboard v1 - ARC Challenge | 59.98 | Normalized accuracy (%) (25-shot) | 45.8 |
| Open LLM Leaderboard v1 - MMLU | 55.41 | Accuracy (%) (5-shot) | 36.2 |
| Open LLM Leaderboard v1 - GSM8K | 10.54 | Accuracy (%) (5-shot) | 31.5 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 39.9 | MC2 (%) (0-shot) | 12.3 |
Interactive version: theaggregate.ai/model?slug=llama-2-13b-base-eli5-wiki-1024-r-64-alpha-16-adapter · How It Works · Data refreshed daily, snapshot 2026-11-08.