Mistral-7B-instruct-v0.2-summ-sft-e2 [4bit] [Adapter] [rev: 01a73ccd10a2]: benchmark results
Provider: Mistral. Access: Open.
Aggregate Rating 1386 ± 33, rank #6665 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 62.7 | MC2 (%) (0-shot) | 79.6 |
| Open LLM Leaderboard v1 - HellaSwag | 82.72 | Normalized accuracy (%) (10-shot) | 53.3 |
| Open LLM Leaderboard v1 - GSM8K | 37.38 | Accuracy (%) (5-shot) | 52.5 |
| Open LLM Leaderboard v1 - WinoGrande | 76.64 | Accuracy (%) (5-shot) | 49.6 |
| Open LLM Leaderboard v1 - MMLU | 59.48 | Accuracy (%) (5-shot) | 45.2 |
| Open LLM Leaderboard v1 - ARC Challenge | 59.47 | Normalized accuracy (%) (25-shot) | 43.5 |
Interactive version: theaggregate.ai/model?slug=mistral-7b-instruct-v0-2-summ-sft-e2-4bit-adapter-rev-01a73ccd10a2 · How It Works · Data refreshed daily, snapshot 2026-11-08.