SauerkrautLM-14B-MoE-LaserChat: benchmark results
A VAGOsolutions and Hyperspace.ai mixture-of-experts release combining SauerkrautLM-7b-LaserChat and yam-peleg/Experiment26-7B, retaining credit to the LaserRMT research collaboration. Provider: VAGOsolutions. Access: Open.
Aggregate Rating 1441 ± 35, rank #4169 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - GSM8K | 73.24 | Accuracy (%) (5-shot) | 98.6 |
| Open LLM Leaderboard v1 - MMLU | 65.17 | Accuracy (%) (5-shot) | 82.5 |
| Open LLM Leaderboard v1 - WinoGrande | 81.93 | Accuracy (%) (5-shot) | 81.3 |
| Open LLM Leaderboard v1 - ARC Challenge | 66.72 | Normalized accuracy (%) (25-shot) | 74.5 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 57.64 | MC2 (%) (0-shot) | 70.5 |
| Open LLM Leaderboard v1 - HellaSwag | 84.88 | Normalized accuracy (%) (10-shot) | 69.7 |
Interactive version: theaggregate.ai/model?slug=sauerkrautlm-14b-moe-laserchat · How It Works · Data refreshed daily, snapshot 2026-11-08.