CollectiveCognition-v1-Mistral-7B: benchmark results
Provider: Other. Access: Open.
Aggregate Rating 1400 ± 34, rank #6098 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - HellaSwag | 85.5 | Normalized accuracy (%) (10-shot) | 74.9 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 54.48 | MC2 (%) (0-shot) | 62.6 |
| Open LLM Leaderboard v1 - ARC Challenge | 62.37 | Normalized accuracy (%) (25-shot) | 57.6 |
| Open LLM Leaderboard v1 - WinoGrande | 77.58 | Accuracy (%) (5-shot) | 57 |
| Open LLM Leaderboard v1 - MMLU | 62.76 | Accuracy (%) (5-shot) | 56.6 |
| Open LLM Leaderboard v1 - GSM8K | 17.89 | Accuracy (%) (5-shot) | 39.3 |
Interactive version: theaggregate.ai/model?slug=collectivecognition-v1-mistral-7b · How It Works · Data refreshed daily, snapshot 2026-11-08.