flammen22C-mistral-7B: benchmark results
A DPO fine-tune released by flammen.ai of flammenai/flammen22-mistral-7B, using flammenai/casual-conversation-DPO. Provider: flammen.ai. Access: Open.
Aggregate Rating 1448 ± 38, rank #3867 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 68.56 | MC2 (%) (0-shot) | 87.7 |
| Open LLM Leaderboard v1 - ARC Challenge | 70.56 | Normalized accuracy (%) (25-shot) | 86.4 |
| Open LLM Leaderboard v1 - WinoGrande | 82.16 | Accuracy (%) (5-shot) | 82.7 |
| Open LLM Leaderboard v1 - GSM8K | 66.57 | Accuracy (%) (5-shot) | 82 |
| Open LLM Leaderboard v1 - HellaSwag | 86.33 | Normalized accuracy (%) (10-shot) | 80.2 |
| Open LLM Leaderboard v1 - MMLU | 63.94 | Accuracy (%) (5-shot) | 64.3 |
Interactive version: theaggregate.ai/model?slug=flammen22c-mistral-7b · How It Works · Data refreshed daily, snapshot 2026-11-08.