SciPhi-Self-RAG-Mistral-7B-32k: benchmark results
Provider: Other. Access: Open.
Aggregate Rating 1372 ± 34, rank #7121 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - MMLU | 60.81 | Accuracy (%) (5-shot) | 49.8 |
| Open LLM Leaderboard v1 - HellaSwag | 80.44 | Normalized accuracy (%) (10-shot) | 41 |
| Open LLM Leaderboard v1 - GSM8K | 19.71 | Accuracy (%) (5-shot) | 40.8 |
| Open LLM Leaderboard v1 - WinoGrande | 74.82 | Accuracy (%) (5-shot) | 38.9 |
| Open LLM Leaderboard v1 - ARC Challenge | 57.34 | Normalized accuracy (%) (25-shot) | 37.3 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 45.63 | MC2 (%) (0-shot) | 31.6 |
Interactive version: theaggregate.ai/model?slug=sciphi-self-rag-mistral-7b-32k · How It Works · Data refreshed daily, snapshot 2026-11-08.