Smaug-Mixtral-v0.1 [float16] [rev: 98fdc8315906]: benchmark results
Provider: Abacus.AI. Access: Open.
Aggregate Rating 1481 ± 36, rank #2655 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - ARC Challenge | 74.66 | Normalized accuracy (%) (25-shot) | 99.3 |
| Open LLM Leaderboard v1 - GSM8K | 71.95 | Accuracy (%) (5-shot) | 97 |
| Open LLM Leaderboard v1 - MMLU | 70.06 | Accuracy (%) (5-shot) | 93.3 |
| Open LLM Leaderboard v1 - HellaSwag | 87.72 | Normalized accuracy (%) (10-shot) | 87.5 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 66.95 | MC2 (%) (0-shot) | 85.2 |
| Open LLM Leaderboard v1 - WinoGrande | 81.61 | Accuracy (%) (5-shot) | 80.1 |
Interactive version: theaggregate.ai/model?slug=smaug-mixtral-v0-1-float16-rev-98fdc8315906 · How It Works · Data refreshed daily, snapshot 2026-11-08.