fine-tune-mistral-environment-merge: benchmark results
Provider: Other.
Aggregate Rating 1407 ± 33, rank #5768 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 | 63.88 | Accuracy (%) (5-shot) | 63.8 |
| Open LLM Leaderboard v1 - HellaSwag | 83.66 | Normalized accuracy (%) (10-shot) | 60.5 |
| Open LLM Leaderboard v1 - ARC Challenge | 62.63 | Normalized accuracy (%) (25-shot) | 59 |
| Open LLM Leaderboard v1 - GSM8K | 35.25 | Accuracy (%) (5-shot) | 51 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 43.97 | MC2 (%) (0-shot) | 25.5 |
Interactive version: theaggregate.ai/model?slug=fine-tune-mistral-environment-merge · How It Works · Data refreshed daily, snapshot 2026-11-08.