finetuned-Mistral-7B-Instruct-v0.2-5000-v2.0 [4bit]: benchmark results
Provider: Other. Access: Open.
Aggregate Rating 1383 ± 33, rank #6766 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 59.54 | MC2 (%) (0-shot) | 73.9 |
| Open LLM Leaderboard v1 - WinoGrande | 77.66 | Accuracy (%) (5-shot) | 57.6 |
| Open LLM Leaderboard v1 - HellaSwag | 82.65 | Normalized accuracy (%) (10-shot) | 52.9 |
| Open LLM Leaderboard v1 - GSM8K | 36.01 | Accuracy (%) (5-shot) | 51.5 |
| Open LLM Leaderboard v1 - MMLU | 58.45 | Accuracy (%) (5-shot) | 43.4 |
| Open LLM Leaderboard v1 - ARC Challenge | 59.3 | Normalized accuracy (%) (25-shot) | 42.8 |
Interactive version: theaggregate.ai/model?slug=finetuned-mistral-7b-instruct-v0-2-5000-v2-0-4bit · How It Works · Data refreshed daily, snapshot 2026-11-08.