Mistral-7B-Instruct-v0.1-gpt-4-80k-base_lora [Adapter]: benchmark results
Provider: Mistral. Access: Open.
Aggregate Rating 1339 ± 33, rank #7985 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 56.81 | MC2 (%) (0-shot) | 68.8 |
| Open LLM Leaderboard v1 - GSM8K | 17.74 | Accuracy (%) (5-shot) | 39.2 |
| Open LLM Leaderboard v1 - MMLU | 54.89 | Accuracy (%) (5-shot) | 34.9 |
| Open LLM Leaderboard v1 - ARC Challenge | 53.67 | Normalized accuracy (%) (25-shot) | 29.9 |
| Open LLM Leaderboard v1 - WinoGrande | 72.38 | Accuracy (%) (5-shot) | 28.9 |
| Open LLM Leaderboard v1 - HellaSwag | 73.58 | Normalized accuracy (%) (10-shot) | 23.8 |
Interactive version: theaggregate.ai/model?slug=mistral-7b-instruct-v0-1-gpt-4-80k-base-lora-adapter · How It Works · Data refreshed daily, snapshot 2026-11-08.