Dumb-Maidlet: benchmark results
Azazelle's SLERP merge, whose published recipe uses mistralai/Mistral-7B-v0.1 as its base and Azazelle/Half-NSFW_Noromaid-7b, Azazelle/smol_bruin-7b as merge inputs. Its published Mistral configuration specifies 32 decoder layers. Provider: Azazelle. Access: Open.
Aggregate Rating 1432 ± 33, rank #4555 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - MMLU | 65.17 | Accuracy (%) (5-shot) | 82.5 |
| Open LLM Leaderboard v1 - HellaSwag | 86.06 | Normalized accuracy (%) (10-shot) | 78.5 |
| Open LLM Leaderboard v1 - ARC Challenge | 66.81 | Normalized accuracy (%) (25-shot) | 74.8 |
| Open LLM Leaderboard v1 - GSM8K | 61.11 | Accuracy (%) (5-shot) | 73.5 |
| Open LLM Leaderboard v1 - WinoGrande | 80.19 | Accuracy (%) (5-shot) | 72.8 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 50.7 | MC2 (%) (0-shot) | 49.2 |
Interactive version: theaggregate.ai/model?slug=dumb-maidlet · How It Works · Data refreshed daily, snapshot 2026-11-08.