piccolo-8x7B: benchmark results
A Piccolo release by macadeliccc based on mlabonne/NeuralBeagle-7b, dedicated to the publisher's dog Klaus. Provider: macadeliccc. Access: Open.
Aggregate Rating 1444 ± 37, rank #4053 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - GSM8K | 72.02 | Accuracy (%) (5-shot) | 97.1 |
| Open LLM Leaderboard v1 - HellaSwag | 86.98 | Normalized accuracy (%) (10-shot) | 83.9 |
| Open LLM Leaderboard v1 - ARC Challenge | 69.62 | Normalized accuracy (%) (25-shot) | 83.7 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 64.17 | MC2 (%) (0-shot) | 81.8 |
| Open LLM Leaderboard v1 - WinoGrande | 79.87 | Accuracy (%) (5-shot) | 71.4 |
| Open LLM Leaderboard v1 - MMLU | 64.13 | Accuracy (%) (5-shot) | 66 |
Interactive version: theaggregate.ai/model?slug=piccolo-8x7b · How It Works · Data refreshed daily, snapshot 2026-11-08.