flammen22-mistral-7B: benchmark results
A DPO fine-tune released by flammen.ai of flammenai/flammen21X-mistral-7B, using Doctor-Shotgun/theory-of-mind-dpo. Provider: flammen.ai. Access: Open.
Aggregate Rating 1449 ± 38, rank #3818 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 68.18 | MC2 (%) (0-shot) | 87.2 |
| Open LLM Leaderboard v1 - ARC Challenge | 70.73 | Normalized accuracy (%) (25-shot) | 86.8 |
| Open LLM Leaderboard v1 - WinoGrande | 82.32 | Accuracy (%) (5-shot) | 83.5 |
| Open LLM Leaderboard v1 - GSM8K | 67.1 | Accuracy (%) (5-shot) | 83 |
| Open LLM Leaderboard v1 - HellaSwag | 86.3 | Normalized accuracy (%) (10-shot) | 80 |
| Open LLM Leaderboard v1 - MMLU | 64.05 | Accuracy (%) (5-shot) | 65.1 |
Interactive version: theaggregate.ai/model?slug=flammen22-mistral-7b · How It Works · Data refreshed daily, snapshot 2026-11-08.