aegolius-acadicus-v1-30B: benchmark results
An ibivibiv release with a published Mixtral configuration specifying 5 local experts, 2 selected per token and 32 decoder layers. Expert labels and nominal model sizes do not establish total or active learned parameter counts. Provider: ibivibiv. Access: Open.
Aggregate Rating 1466 ± 41, rank #2975 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - WinoGrande | 84.85 | Accuracy (%) (5-shot) | 95.5 |
| Open LLM Leaderboard v1 - GSM8K | 70.58 | Accuracy (%) (5-shot) | 93.6 |
| Open LLM Leaderboard v1 - ARC Challenge | 72.61 | Normalized accuracy (%) (25-shot) | 92.8 |
| Open LLM Leaderboard v1 - HellaSwag | 87.99 | Normalized accuracy (%) (10-shot) | 89 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 67.06 | MC2 (%) (0-shot) | 85.4 |
| Open LLM Leaderboard v1 - MMLU | 65.11 | Accuracy (%) (5-shot) | 81.9 |
Interactive version: theaggregate.ai/model?slug=aegolius-acadicus-v1-30b · How It Works · Data refreshed daily, snapshot 2026-11-08.