CollectiveCognition-v1.1-Mistral-7B-dare-0.85: benchmark results
Provider: uukuguy. Released 2023-11-23. Access: Open.
Aggregate Rating 1402 ± 34, rank #6012 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - MMLU | 64.34 | Accuracy (%) (5-shot) | 68.5 |
| Open LLM Leaderboard v1 - WinoGrande | 78.85 | Accuracy (%) (5-shot) | 65.9 |
| Open LLM Leaderboard v1 - HellaSwag | 84.31 | Normalized accuracy (%) (10-shot) | 65.3 |
| Open LLM Leaderboard v1 - ARC Challenge | 61.01 | Normalized accuracy (%) (25-shot) | 50.8 |
| Open LLM Leaderboard v1 - GSM8K | 18.95 | Accuracy (%) (5-shot) | 40.2 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 44.87 | MC2 (%) (0-shot) | 28.9 |
Interactive version: theaggregate.ai/model?slug=collectivecognition-v1-1-mistral-7b-dare-0-85 · How It Works · Data refreshed daily, snapshot 2026-11-08.