Smaug-70B-v0.1: benchmark results
Provider: Abacus.AI.
Aggregate Rating 1529 ± 34, rank #1962 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - ARC Challenge | 76.02 | Normalized accuracy (%) (25-shot) | 99.5 |
| Open LLM Leaderboard v1 - GSM8K | 78.7 | Accuracy (%) (5-shot) | 99.5 |
| Open LLM Leaderboard v1 - HellaSwag | 89.27 | Normalized accuracy (%) (10-shot) | 98.9 |
| Open LLM Leaderboard v1 - MMLU | 77.15 | Accuracy (%) (5-shot) | 98.3 |
| Open LLM Leaderboard v1 - WinoGrande | 85.08 | Accuracy (%) (5-shot) | 97.1 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 76.67 | MC2 (%) (0-shot) | 96.2 |
Interactive version: theaggregate.ai/model?slug=smaug-70b-v0-1 · How It Works · Data refreshed daily, snapshot 2026-11-08.