platypus-2-22B-relora [float16]: benchmark results
Provider: chargoddard. Released 2023-08-17. Access: Open.
Aggregate Rating 1351 ± 35, rank #7583 of 10870 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - WinoGrande | 77.35 | Accuracy (%) (5-shot) | 55.3 |
| Open LLM Leaderboard v1 - HellaSwag | 82.44 | Normalized accuracy (%) (10-shot) | 51.3 |
| Open LLM Leaderboard v1 - ARC Challenge | 57.68 | Normalized accuracy (%) (25-shot) | 38.1 |
| Open LLM Leaderboard v1 - MMLU | 55.33 | Accuracy (%) (5-shot) | 36.1 |
| Open LLM Leaderboard v1 - GSM8K | 6.6 | Accuracy (%) (5-shot) | 25.8 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 43.61 | MC2 (%) (0-shot) | 24.2 |
Interactive version: theaggregate.ai/model?slug=platypus-2-22b-relora-float16 · How It Works · Data refreshed daily, snapshot 2026-11-12.