Qwen2.5-14B-Gutenberg-Instruct-Slerpeno: benchmark results
Community SLERP merge of Qwen 2.5 14B fine-tunes (Gutenberg). Provider: v000000. Released 2024-09-20. Access: Open.
Aggregate Rating 1606 ± 21, rank #421 of 1654 rated models, from 20 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open Korean LLM - Ko-IFEval | 68.42 | Strict accuracy, prompt/instruction mean (%) | 99.7 |
| Open Korean LLM Leaderboard | 54.53 | Average Score (%) | 99.7 |
| Open Korean LLM - Ko-GSM8K (flexible extract) | 76.35 | Exact match, flexible extract (%) | 99.4 |
| Open Korean LLM - KorNAT-CKA | 39.85 | Normalized accuracy (%) | 99 |
| Open LLM Leaderboard - IFEval | 81.97 | Score | 98.8 |
| Open Portuguese LLM - ASSIN2 RTE | 94.73 | Macro F1 (%) | 98.6 |
| Open LLM Leaderboard - MATH Level 5 | 53.25 | Score | 98.4 |
| Open Korean LLM - Ko-EQ-Bench | 58.84 | EQ-Bench score | 98.2 |
| Open Korean LLM - KorNAT-Helpful | 60.05 | Normalized accuracy (%) | 97.7 |
| Open Korean LLM - Ko-Winogrande | 69.85 | Accuracy (%) | 95.8 |
| Open Korean LLM - KorNAT-Harmless | 72.59 | Normalized accuracy (%) | 95.6 |
| Open Korean LLM - Ko-GPQA-Diamond | 27.78 | Normalized accuracy (%) | 95 |
Interactive version: theaggregate.ai/model?slug=qwen2-5-14b-gutenberg-instruct-slerpeno · How It Works · Data refreshed daily, snapshot 2026-10-24.