WhiteRabbitNeo-33B-v1: benchmark results
Provider: Other. Access: Open.
Aggregate Rating 1271 ± 39, rank #9046 of 10916 rated models, from 8 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| EvalPlus (HumanEval+ & MBPP+) | 66.4 | Pass@1 avg (%) | 68.5 |
| Open LLM Leaderboard v1 - GSM8K | 33.74 | Accuracy (%) (5-shot) | 49.7 |
| Open LLM Leaderboard v1 - MMLU | 40.56 | Accuracy (%) (5-shot) | 21.2 |
| Open LLM Leaderboard v1 - ARC Challenge | 44.37 | Normalized accuracy (%) (25-shot) | 20 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 41.68 | MC2 (%) (0-shot) | 17.8 |
| Open LLM Leaderboard v1 - HellaSwag | 60.22 | Normalized accuracy (%) (10-shot) | 14.3 |
| Open LLM Leaderboard v1 - WinoGrande | 61.01 | Accuracy (%) (5-shot) | 14.1 |
| MBPP+ | 66.9 | MBPP+ pass@1 (imported) | 4.2 |
Interactive version: theaggregate.ai/model?slug=whiterabbitneo-33b-v1 · How It Works · Data refreshed daily, snapshot 2026-11-08.