platypus-2-22B-relora [bfloat16]: benchmark results
Provider: chargoddard. Released 2023-08-17. Access: Open.
Aggregate Rating 1348 ± 35, rank #7649 of 10870 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - WinoGrande | 77.11 | Accuracy (%) (5-shot) | 53.4 |
| Open LLM Leaderboard v1 - HellaSwag | 82.36 | Normalized accuracy (%) (10-shot) | 50.8 |
| Open LLM Leaderboard v1 - ARC Challenge | 57.51 | Normalized accuracy (%) (25-shot) | 37.8 |
| Open LLM Leaderboard v1 - MMLU | 54.94 | Accuracy (%) (5-shot) | 35 |
| Open LLM Leaderboard v1 - GSM8K | 6.29 | Accuracy (%) (5-shot) | 25.5 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 43.62 | MC2 (%) (0-shot) | 24.2 |
Interactive version: theaggregate.ai/model?slug=platypus-2-22b-relora-bfloat16 · How It Works · Data refreshed daily, snapshot 2026-11-12.