MythoMax-L2-13B: benchmark results
Gryphe's MythoMax L2 13B, a tensor-level merge of his MythoLogic-L2 and Huginn models for roleplaying and story writing. Provider: Gryphe. Released 2023-08-10. Access: Open.
Aggregate Rating 1339 ± 13, rank #1409 of 1656 rated models, from 82 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| MMLU-by-task - Abstract Algebra | 37 | Accuracy (%) | 94.5 |
| PCB-Bench - Placement Macro QA BERTScore | 82.57 | BERTScore (%) | 91.7 |
| MMLU-by-task - High School Mathematics | 32.59 | Accuracy (%) | 90.6 |
| MMLU-by-task - Human Aging | 68.61 | Accuracy (%) | 89.4 |
| MMLU-by-task - TruthfulQA MC1 | 36.6 | Accuracy (%) | 88.6 |
| MMLU-by-task - Public Relations | 67.27 | Accuracy (%) | 87.5 |
| MMLU-by-task - Anatomy | 52.59 | Accuracy (%) | 87.3 |
| MMLU-by-task - Moral Scenarios | 43.91 | Accuracy (%) | 87.3 |
| MMLU-by-task - HellaSwag | 64.23 | Accuracy (%) | 87 |
| MMLU-by-task - TruthfulQA MC2 | 51.97 | Accuracy (%) | 85 |
| MMLU-by-task - ARC Challenge | 58.28 | Accuracy (%) | 83.7 |
| PCB-Bench - Placement Micro QA BERTScore | 81.01 | BERTScore (%) | 83.3 |
Interactive version: theaggregate.ai/model?slug=mythomax-l2-13b · How It Works · Data refreshed daily, snapshot 2026-10-20.