Llama 2. 7B Small Tuning V1: benchmark results
Provider: Meta. Access: Open.
Aggregate Rating 1117 ± 44, rank #10554 of 10916 rated models, from 15 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open Korean LLM - Ko-GPQA-Diamond | 27.27 | Normalized accuracy (%) | 92.4 |
| Open Korean LLM - KorNAT-CKA | 27.75 | Normalized accuracy (%) | 71.4 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 48.7 | MC2 (%) (0-shot) | 42.3 |
| Open Korean LLM - Ko-EQ-Bench | 0 | EQ-Bench score | 24.5 |
| Open LLM Leaderboard v1 - MMLU | 25.51 | Accuracy (%) (5-shot) | 8.6 |
| Open Korean LLM - KorNAT-Harmless | 59.17 | Normalized accuracy (%) | 5.4 |
| Open Korean LLM - Ko-IFEval | 3.23 | Strict accuracy, prompt/instruction mean (%) | 5 |
| Open Korean LLM - Ko-GSM8K (flexible extract) | 0.08 | Exact match, flexible extract (%) | 4.8 |
| Open LLM Leaderboard v1 - GSM8K | 0 | Accuracy (%) (5-shot) | 4.5 |
| Open Korean LLM - Ko-Winogrande | 50.75 | Accuracy (%) | 4.2 |
| Open LLM Leaderboard v1 - WinoGrande | 49.72 | Accuracy (%) (5-shot) | 2.3 |
| Open Korean LLM - KorNAT-Helpful | 35.95 | Normalized accuracy (%) | 1.6 |
Interactive version: theaggregate.ai/model?slug=llama-2-7b-small-tuning-v1 · How It Works · Data refreshed daily, snapshot 2026-11-08.