WizardCoder-Python-13B-LoRa: benchmark results
Provider: Other. Access: Open.
Aggregate Rating 1237 ± 16, rank #9359 of 10916 rated models, from 68 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| MMLU-by-task - Econometrics | 31.58 | Accuracy (%) | 73.2 |
| MMLU-by-task - High School Mathematics | 29.26 | Accuracy (%) | 70.6 |
| MMLU-by-task - Global Facts | 35 | Accuracy (%) | 64.2 |
| MMLU-by-task - Moral Scenarios | 27.71 | Accuracy (%) | 62.5 |
| MMLU-by-task - Electrical Engineering | 46.9 | Accuracy (%) | 62 |
| MMLU-by-task - College Computer Science | 42 | Accuracy (%) | 61.2 |
| MMLU-by-task - High School Computer Science | 47 | Accuracy (%) | 55.5 |
| MMLU-by-task - TruthfulQA MC1 | 29.13 | Accuracy (%) | 53.3 |
| MMLU-by-task - Business Ethics | 48 | Accuracy (%) | 52.2 |
| MMLU-by-task - Machine Learning | 32.14 | Accuracy (%) | 48.9 |
| MMLU-by-task - Formal Logic | 30.16 | Accuracy (%) | 48.8 |
| MMLU-by-task - Public Relations | 51.82 | Accuracy (%) | 46.6 |
Interactive version: theaggregate.ai/model?slug=wizardcoder-python-13b-lora · How It Works · Data refreshed daily, snapshot 2026-11-08.