Young-Children-Storyteller-Mistral-7B: benchmark results
A QLoRA fine-tune by ajibawa-2023 of Mistral-7B-v0.1 on over 900,000 synthetic stories intended for ages 6 to 12, with ChatML prompts. Provider: ajibawa-2023. Access: Open.
Aggregate Rating 1439 ± 36, rank #4233 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - ARC Challenge | 68.69 | Normalized accuracy (%) (25-shot) | 81 |
| Open LLM Leaderboard v1 - GSM8K | 65.2 | Accuracy (%) (5-shot) | 79.5 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 62.62 | MC2 (%) (0-shot) | 79.4 |
| Open LLM Leaderboard v1 - WinoGrande | 81.22 | Accuracy (%) (5-shot) | 77.8 |
| Open LLM Leaderboard v1 - HellaSwag | 84.67 | Normalized accuracy (%) (10-shot) | 67.7 |
| Open LLM Leaderboard v1 - MMLU | 64.11 | Accuracy (%) (5-shot) | 65.8 |
Interactive version: theaggregate.ai/model?slug=young-children-storyteller-mistral-7b · How It Works · Data refreshed daily, snapshot 2026-11-08.