flammen23-mistral-7B: benchmark results
A DPO fine-tune released by flammen.ai of flammenai/flammen22X-mistral-7B, using nbeerbower/bible-dpo. Provider: flammen.ai. Access: Open.
Aggregate Rating 1444 ± 35, rank #4025 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 68.83 | MC2 (%) (0-shot) | 88.1 |
| Open LLM Leaderboard v1 - HellaSwag | 86.69 | Normalized accuracy (%) (10-shot) | 82.4 |
| Open LLM Leaderboard v1 - MMLU | 65.14 | Accuracy (%) (5-shot) | 82.3 |
| Open LLM Leaderboard v1 - GSM8K | 65.35 | Accuracy (%) (5-shot) | 79.9 |
| Open LLM Leaderboard v1 - ARC Challenge | 68.09 | Normalized accuracy (%) (25-shot) | 79.3 |
| Open LLM Leaderboard v1 - WinoGrande | 81.06 | Accuracy (%) (5-shot) | 77 |
Interactive version: theaggregate.ai/model?slug=flammen23-mistral-7b · How It Works · Data refreshed daily, snapshot 2026-11-08.