SnorkelWestBeagle-DARETIES-7B: benchmark results
jsfs11 release whose published recipe uses DARE-TIES merging with mistralai/Mistral-7B-v0.1 as the base and snorkelai/Snorkel-Mistral-PairRM-DPO, senseable/WestLake-7B-v2, mlabonne/NeuralBeagle14-7B as additional inputs. Provider: jsfs11. Access: Open.
Aggregate Rating 1452 ± 39, rank #3672 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 70.05 | MC2 (%) (0-shot) | 89.9 |
| Open LLM Leaderboard v1 - ARC Challenge | 71.16 | Normalized accuracy (%) (25-shot) | 88.2 |
| Open LLM Leaderboard v1 - WinoGrande | 83.19 | Accuracy (%) (5-shot) | 87.5 |
| Open LLM Leaderboard v1 - HellaSwag | 87.35 | Normalized accuracy (%) (10-shot) | 85.7 |
| Open LLM Leaderboard v1 - GSM8K | 62.09 | Accuracy (%) (5-shot) | 75.1 |
| Open LLM Leaderboard v1 - MMLU | 64.35 | Accuracy (%) (5-shot) | 68.7 |
Interactive version: theaggregate.ai/model?slug=snorkelwestbeagle-dareties-7b · How It Works · Data refreshed daily, snapshot 2026-11-08.