Mistral-7B-Instruct-v0.2-gpt-4-80k-base_lora [Adapter]: benchmark results
Provider: Mistral. Access: Open.
Aggregate Rating 1371 ± 34, rank #7156 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 68.32 | MC2 (%) (0-shot) | 87.5 |
| Open LLM Leaderboard v1 - GSM8K | 28.89 | Accuracy (%) (5-shot) | 46.3 |
| Open LLM Leaderboard v1 - ARC Challenge | 59.47 | Normalized accuracy (%) (25-shot) | 43.5 |
| Open LLM Leaderboard v1 - MMLU | 58.5 | Accuracy (%) (5-shot) | 43.5 |
| Open LLM Leaderboard v1 - HellaSwag | 79.7 | Normalized accuracy (%) (10-shot) | 38.9 |
| Open LLM Leaderboard v1 - WinoGrande | 70.32 | Accuracy (%) (5-shot) | 24.7 |
Interactive version: theaggregate.ai/model?slug=mistral-7b-instruct-v0-2-gpt-4-80k-base-lora-adapter · How It Works · Data refreshed daily, snapshot 2026-11-08.