General-Stories-Mistral-7B: benchmark results
A QLoRA fine-tune by ajibawa-2023 of Mistral-7B-v0.1 on approximately 1.3 million synthetic general-audience stories, with ChatML prompts. Provider: ajibawa-2023. Access: Open.
Aggregate Rating 1429 ± 34, rank #4718 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - ARC Challenge | 67.41 | Normalized accuracy (%) (25-shot) | 76.7 |
| Open LLM Leaderboard v1 - GSM8K | 61.33 | Accuracy (%) (5-shot) | 73.9 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 58.37 | MC2 (%) (0-shot) | 72.1 |
| Open LLM Leaderboard v1 - WinoGrande | 79.32 | Accuracy (%) (5-shot) | 68.6 |
| Open LLM Leaderboard v1 - MMLU | 64.13 | Accuracy (%) (5-shot) | 66 |
| Open LLM Leaderboard v1 - HellaSwag | 83.25 | Normalized accuracy (%) (10-shot) | 57.1 |
Interactive version: theaggregate.ai/model?slug=general-stories-mistral-7b · How It Works · Data refreshed daily, snapshot 2026-11-08.