MetaMath-neural-chat-7B-v3-2-Slerp: benchmark results
Provider: Weyaxi. Access: Open.
Aggregate Rating 1426 ± 34, rank #4842 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 - WinoGrande | 79.95 | Accuracy (%) (5-shot) | 71.6 |
| Open LLM Leaderboard v1 - ARC Challenge | 65.7 | Normalized accuracy (%) (25-shot) | 70.8 |
| Open LLM Leaderboard v1 - HellaSwag | 84.51 | Normalized accuracy (%) (10-shot) | 66.5 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 55.23 | MC2 (%) (0-shot) | 64.5 |
| Open LLM Leaderboard v1 - MMLU | 63.5 | Accuracy (%) (5-shot) | 61.2 |
Interactive version: theaggregate.ai/model?slug=metamath-neural-chat-7b-v3-2-slerp · How It Works · Data refreshed daily, snapshot 2026-11-08.