fine-tune-mistral-long-merge: benchmark results
Provider: Other.
Aggregate Rating 1405 ± 33, rank #5826 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - WinoGrande | 78.93 | Accuracy (%) (5-shot) | 66.3 |
| Open LLM Leaderboard v1 - MMLU | 63.39 | Accuracy (%) (5-shot) | 60.4 |
| Open LLM Leaderboard v1 - ARC Challenge | 62.88 | Normalized accuracy (%) (25-shot) | 60.2 |
| Open LLM Leaderboard v1 - HellaSwag | 83.62 | Normalized accuracy (%) (10-shot) | 60.1 |
| Open LLM Leaderboard v1 - GSM8K | 36.09 | Accuracy (%) (5-shot) | 51.6 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 43.94 | MC2 (%) (0-shot) | 25.2 |
Interactive version: theaggregate.ai/model?slug=fine-tune-mistral-long-merge · How It Works · Data refreshed daily, snapshot 2026-11-08.