flammen26-mistral-7B: benchmark results
A Model Stock merge released by flammen.ai, combining Mahou-1.2-mistral-7B, flammen23-mistral-7B and flammen18X-mistral-7B against flammen25-mistral-7B as the base. Provider: flammen.ai. Access: Open.
Aggregate Rating 1442 ± 35, rank #4137 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 71.37 | MC2 (%) (0-shot) | 91.7 |
| Open LLM Leaderboard v1 - HellaSwag | 86.96 | Normalized accuracy (%) (10-shot) | 83.8 |
| Open LLM Leaderboard v1 - MMLU | 65.01 | Accuracy (%) (5-shot) | 80.3 |
| Open LLM Leaderboard v1 - ARC Challenge | 67.92 | Normalized accuracy (%) (25-shot) | 78.6 |
| Open LLM Leaderboard v1 - GSM8K | 63.15 | Accuracy (%) (5-shot) | 76.5 |
| Open LLM Leaderboard v1 - WinoGrande | 80.51 | Accuracy (%) (5-shot) | 74.3 |
Interactive version: theaggregate.ai/model?slug=flammen26-mistral-7b · How It Works · Data refreshed daily, snapshot 2026-11-08.