vicuna-7B-v1.5-PL-lora_unload: benchmark results
Provider: LMSYS. Access: Open.
Aggregate Rating 1306 ± 14, rank #8618 of 10916 rated models, from 68 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| MMLU-by-task - Machine Learning | 41.96 | Accuracy (%) | 84.6 |
| MMLU-by-task - College Mathematics | 36 | Accuracy (%) | 80.2 |
| MMLU-by-task - Conceptual Physics | 45.11 | Accuracy (%) | 75.9 |
| MMLU-by-task - TruthfulQA MC2 | 49.68 | Accuracy (%) | 75 |
| MMLU-by-task - Public Relations | 61.82 | Accuracy (%) | 71.4 |
| MMLU-by-task - TruthfulQA MC1 | 32.56 | Accuracy (%) | 68.6 |
| MMLU-by-task - Medical Genetics | 57 | Accuracy (%) | 68.4 |
| MMLU-by-task - Computer Security | 66 | Accuracy (%) | 67.9 |
| MMLU-by-task - Security Studies | 60 | Accuracy (%) | 66.3 |
| MMLU-by-task - Formal Logic | 34.13 | Accuracy (%) | 66.2 |
| MMLU-by-task - Marketing | 77.35 | Accuracy (%) | 65.8 |
| MMLU-by-task - Professional Medicine | 51.47 | Accuracy (%) | 65.5 |
Interactive version: theaggregate.ai/model?slug=vicuna-7b-v1-5-pl-lora-unload · How It Works · Data refreshed daily, snapshot 2026-11-08.