Fewshot-Metamath-OrcaVicuna-Mistral: benchmark results
Provider: Abacus.AI. Access: Open.
Aggregate Rating 1402 ± 34, rank #5992 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - GSM8K | 69.14 | Accuracy (%) (5-shot) | 88.1 |
| Open LLM Leaderboard v1 - WinoGrande | 78.45 | Accuracy (%) (5-shot) | 63.3 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 53.23 | MC2 (%) (0-shot) | 58.9 |
| Open LLM Leaderboard v1 - MMLU | 61.69 | Accuracy (%) (5-shot) | 52.6 |
| Open LLM Leaderboard v1 - HellaSwag | 81.82 | Normalized accuracy (%) (10-shot) | 47.2 |
| Open LLM Leaderboard v1 - ARC Challenge | 59.64 | Normalized accuracy (%) (25-shot) | 44.3 |
Interactive version: theaggregate.ai/model?slug=fewshot-metamath-orcavicuna-mistral · How It Works · Data refreshed daily, snapshot 2026-11-08.