Nanbeige-16B-Base-Llama: benchmark results
Provider: Nanbeige.
Aggregate Rating 1403 ± 27, rank #5953 of 10916 rated models, from 14 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open Chinese LLM - WinoGrande | 66.22 | Accuracy (%) | 77.1 |
| Open LLM Leaderboard v1 - GSM8K | 47.01 | Accuracy (%) (5-shot) | 60.5 |
| Open LLM Leaderboard v1 - MMLU | 63.34 | Accuracy (%) (5-shot) | 60 |
| Open Chinese LLM - HellaSwag | 60.86 | Accuracy (%) | 58.9 |
| Open Chinese LLM - C-Eval Semantic | 70.87 | Accuracy (%) | 54.4 |
| Open Chinese LLM - CMMLU | 54.17 | Accuracy (%) | 54.1 |
| Open LLM Leaderboard v1 - WinoGrande | 75.77 | Accuracy (%) (5-shot) | 44 |
| Open LLM Leaderboard v1 - HellaSwag | 78.97 | Normalized accuracy (%) (10-shot) | 36.4 |
| Open LLM Leaderboard v1 - ARC Challenge | 56.48 | Normalized accuracy (%) (25-shot) | 35.5 |
| Open Chinese LLM - ARC Challenge | 48.46 | Accuracy (%) | 34.3 |
| Open Chinese LLM Leaderboard | 54.98 | Official Nonzero-Task Mean (%) | 34 |
| Open Chinese LLM - GSM8K | 35.48 | Accuracy (%) | 31.2 |
Interactive version: theaggregate.ai/model?slug=nanbeige-16b-base-llama · How It Works · Data refreshed daily, snapshot 2026-11-08.