Sakura-SOLRCA-Math-Instruct-DPO-v1: benchmark results
Provider: Other. Access: Open.
Aggregate Rating 1458 ± 28, rank #3451 of 10916 rated models, from 15 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 72.12 | MC2 (%) (0-shot) | 93.1 |
| Open LLM Leaderboard v1 - HellaSwag | 88.48 | Normalized accuracy (%) (10-shot) | 92.2 |
| Open Korean LLM - KorNAT-Harmless | 68.2 | Normalized accuracy (%) | 91.9 |
| Open LLM Leaderboard v1 - ARC Challenge | 71.25 | Normalized accuracy (%) (25-shot) | 88.6 |
| Open LLM Leaderboard v1 - MMLU | 66.21 | Accuracy (%) (5-shot) | 86.3 |
| Open Korean LLM - Ko-GSM8K (flexible extract) | 52.69 | Exact match, flexible extract (%) | 86.1 |
| Open LLM Leaderboard v1 - WinoGrande | 82.87 | Accuracy (%) (5-shot) | 86 |
| Open Korean LLM - Ko-EQ-Bench | 34.11 | EQ-Bench score | 83.9 |
| Open Korean LLM - KorNAT-Helpful | 49.7 | Normalized accuracy (%) | 81 |
| Open LLM Leaderboard v1 - GSM8K | 63.84 | Accuracy (%) (5-shot) | 77.5 |
| Open Korean LLM Leaderboard | 40.08 | Average Score (%) | 75.6 |
| Open Korean LLM - Ko-Winogrande | 62.67 | Accuracy (%) | 69.8 |
Interactive version: theaggregate.ai/model?slug=sakura-solrca-math-instruct-dpo-v1 · How It Works · Data refreshed daily, snapshot 2026-11-08.