Uncensored-Frank-13B: benchmark results
A conversation fine-tune by ajibawa-2023 trained on approximately 150,000 conversation sets. The card describes a mixture derived from wizard_vicuna_70k_unfiltered and additional synthetic conversations. The final training dataset is not released according to the card. Provider: ajibawa-2023. Access: Open.
Aggregate Rating 1341 ± 15, rank #7946 of 10916 rated models, from 68 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| MMLU-by-task - Global Facts | 41 | Accuracy (%) | 90.8 |
| MMLU-by-task - Medical Genetics | 63 | Accuracy (%) | 84.2 |
| MMLU-by-task - Virology | 48.19 | Accuracy (%) | 83.9 |
| MMLU-by-task - Electrical Engineering | 52.41 | Accuracy (%) | 83.7 |
| MMLU-by-task - College Medicine | 53.76 | Accuracy (%) | 83.4 |
| MMLU-by-task - US Foreign Policy | 83 | Accuracy (%) | 83.1 |
| MMLU-by-task - Marketing | 82.48 | Accuracy (%) | 82.6 |
| MMLU-by-task - Human Aging | 66.37 | Accuracy (%) | 82.1 |
| MMLU-by-task - HellaSwag | 63.18 | Accuracy (%) | 81.3 |
| MMLU-by-task - Conceptual Physics | 46.81 | Accuracy (%) | 80.9 |
| MMLU-by-task - ARC Challenge | 57.08 | Accuracy (%) | 79.4 |
| MMLU-by-task - Philosophy | 64.31 | Accuracy (%) | 78.4 |
Interactive version: theaggregate.ai/model?slug=uncensored-frank-13b · How It Works · Data refreshed daily, snapshot 2026-11-08.