WestOrcaNeural-V2-DARETIES-7B: benchmark results
jsfs11 release whose published recipe uses DARE-TIES merging with mistralai/Mistral-7B-v0.1 as the base and decruz07/kellemar-DPO-Orca-Distilled-7B-SLERP, senseable/WestLake-7B-v2, mlabonne/NeuralBeagle14-7B as additional inputs. Provider: jsfs11. Access: Open.
Aggregate Rating 1462 ± 41, rank #3237 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - GSM8K | 70.66 | Accuracy (%) (5-shot) | 93.8 |
| Open LLM Leaderboard v1 - ARC Challenge | 72.1 | Normalized accuracy (%) (25-shot) | 91 |
| Open LLM Leaderboard v1 - WinoGrande | 83.74 | Accuracy (%) (5-shot) | 90.5 |
| Open LLM Leaderboard v1 - HellaSwag | 88.21 | Normalized accuracy (%) (10-shot) | 90.2 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 67.81 | MC2 (%) (0-shot) | 86.6 |
| Open LLM Leaderboard v1 - MMLU | 64.64 | Accuracy (%) (5-shot) | 74 |
Interactive version: theaggregate.ai/model?slug=westorcaneural-v2-dareties-7b · How It Works · Data refreshed daily, snapshot 2026-11-08.