MetaMath-NeuralHermes-2.5-Mistral-7B-Linear: benchmark results
Provider: Weyaxi. Access: Open.
Aggregate Rating 1413 ± 34, rank #5523 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - GSM8K | 69.83 | Accuracy (%) (5-shot) | 90.6 |
| Open LLM Leaderboard v1 - HellaSwag | 84.21 | Normalized accuracy (%) (10-shot) | 64.5 |
| Open LLM Leaderboard v1 - MMLU | 63.43 | Accuracy (%) (5-shot) | 60.6 |
| Open LLM Leaderboard v1 - ARC Challenge | 62.8 | Normalized accuracy (%) (25-shot) | 59.8 |
| Open LLM Leaderboard v1 - WinoGrande | 76.8 | Accuracy (%) (5-shot) | 50.7 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 48.57 | MC2 (%) (0-shot) | 41.7 |
Interactive version: theaggregate.ai/model?slug=metamath-neuralhermes-2-5-mistral-7b-linear · How It Works · Data refreshed daily, snapshot 2026-11-08.