Fewshot-Metamath-OrcaVicuna-Mistral-10B [Adapter]: benchmark results
Provider: Abacus.AI. Access: Open.
Aggregate Rating 1366 ± 34, rank #7269 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 50.98 | MC2 (%) (0-shot) | 50.2 |
| Open LLM Leaderboard v1 - WinoGrande | 76.48 | Accuracy (%) (5-shot) | 48.5 |
| Open LLM Leaderboard v1 - MMLU | 59.52 | Accuracy (%) (5-shot) | 45.3 |
| Open LLM Leaderboard v1 - ARC Challenge | 56.4 | Normalized accuracy (%) (25-shot) | 35.4 |
| Open LLM Leaderboard v1 - GSM8K | 13.27 | Accuracy (%) (5-shot) | 35.3 |
| Open LLM Leaderboard v1 - HellaSwag | 78.12 | Normalized accuracy (%) (10-shot) | 33 |
Interactive version: theaggregate.ai/model?slug=fewshot-metamath-orcavicuna-mistral-10b-adapter · How It Works · Data refreshed daily, snapshot 2026-11-08.