MetaMath-Chupacabra-7B-v2.01-Slerp (Publisher: Weyaxi): benchmark results
Provider: Other.
Aggregate Rating 1430 ± 34, rank #4674 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - GSM8K | 70.13 | Accuracy (%) (5-shot) | 91.8 |
| Open LLM Leaderboard v1 - HellaSwag | 85.46 | Normalized accuracy (%) (10-shot) | 74.6 |
| Open LLM Leaderboard v1 - WinoGrande | 80.03 | Accuracy (%) (5-shot) | 72 |
| Open LLM Leaderboard v1 - ARC Challenge | 65.96 | Normalized accuracy (%) (25-shot) | 71.7 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 56.16 | MC2 (%) (0-shot) | 67.2 |
| Open LLM Leaderboard v1 - MMLU | 63.82 | Accuracy (%) (5-shot) | 63.5 |
Interactive version: theaggregate.ai/model?slug=metamath-chupacabra-7b-v2-01-slerp-publisher-weyaxi · How It Works · Data refreshed daily, snapshot 2026-11-08.