Smaug-Mixtral-v0.1 [bfloat16] [rev: 2f83b4507747]: benchmark results
Provider: Abacus.AI. Access: Open.
Aggregate Rating 1482 ± 36, rank #2642 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - ARC Challenge | 74.91 | Normalized accuracy (%) (25-shot) | 99.4 |
| Open LLM Leaderboard v1 - GSM8K | 72.48 | Accuracy (%) (5-shot) | 97.9 |
| Open LLM Leaderboard v1 - MMLU | 70.08 | Accuracy (%) (5-shot) | 93.3 |
| Open LLM Leaderboard v1 - HellaSwag | 87.79 | Normalized accuracy (%) (10-shot) | 87.9 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 66.88 | MC2 (%) (0-shot) | 85.2 |
| Open LLM Leaderboard v1 - WinoGrande | 81.69 | Accuracy (%) (5-shot) | 80.5 |
Interactive version: theaggregate.ai/model?slug=smaug-mixtral-v0-1-bfloat16-rev-2f83b4507747 · How It Works · Data refreshed daily, snapshot 2026-11-08.