orthorus-125B-moe: benchmark results
An ibivibiv mixture-of-experts release assembled from WizardLM/WizardLM-70B-V1.0 and migtissera/Synthia-70B. The published Mixtral configuration has two local experts, both selected per token, and 80 decoder layers. Provider: ibivibiv. Access: Open.
Aggregate Rating 1453 ± 33, rank #3652 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - MMLU | 68.94 | Accuracy (%) (5-shot) | 92 |
| Open LLM Leaderboard v1 - WinoGrande | 82.32 | Accuracy (%) (5-shot) | 83.5 |
| Open LLM Leaderboard v1 - ARC Challenge | 67.66 | Normalized accuracy (%) (25-shot) | 77.7 |
| Open LLM Leaderboard v1 - HellaSwag | 85.52 | Normalized accuracy (%) (10-shot) | 75 |
| Open LLM Leaderboard v1 - GSM8K | 56.79 | Accuracy (%) (5-shot) | 68.6 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 56.27 | MC2 (%) (0-shot) | 67.5 |
Interactive version: theaggregate.ai/model?slug=orthorus-125b-moe · How It Works · Data refreshed daily, snapshot 2026-11-08.