finetuned-Mistral-5000-v1.0 [4bit]: benchmark results
Provider: Other. Access: Open.
Aggregate Rating 1390 ± 33, rank #6533 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - WinoGrande | 78.3 | Accuracy (%) (5-shot) | 62 |
| Open LLM Leaderboard v1 - MMLU | 61.68 | Accuracy (%) (5-shot) | 52.5 |
| Open LLM Leaderboard v1 - HellaSwag | 82.37 | Normalized accuracy (%) (10-shot) | 50.8 |
| Open LLM Leaderboard v1 - GSM8K | 31.08 | Accuracy (%) (5-shot) | 47.9 |
| Open LLM Leaderboard v1 - ARC Challenge | 59.9 | Normalized accuracy (%) (25-shot) | 45.4 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 41.17 | MC2 (%) (0-shot) | 16.3 |
Interactive version: theaggregate.ai/model?slug=finetuned-mistral-5000-v1-0-4bit · How It Works · Data refreshed daily, snapshot 2026-11-08.