dolphin-2.9.1-yi-1.5-9B: benchmark results
Cognitive Computations' uncensored Dolphin fine-tune of Yi-1.5 9B for instruction, coding, and function-calling use. Provider: Cognitive Computations. Released 2024-05-18. Access: Open.
Aggregate Rating 1425 ± 18, rank #1124 of 1656 rated models, from 29 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open Korean LLM - Ko-EQ-Bench | 34.87 | EQ-Bench score | 84.6 |
| Open Chinese LLM - WinoGrande | 67.56 | Accuracy (%) | 84.2 |
| Open LLM Leaderboard - GPQA | 33.81 | Score | 83.7 |
| Open Chinese LLM - ARC Challenge | 58.53 | Accuracy (%) | 80.8 |
| Open Chinese LLM - GSM8K | 56.1 | Accuracy (%) | 77.5 |
| Open Chinese LLM - C-Eval Semantic | 85.04 | Accuracy (%) | 76.6 |
| Open Chinese LLM - HellaSwag | 64.57 | Accuracy (%) | 76.6 |
| Open Chinese LLM - CMMLU | 63.52 | Accuracy (%) | 74.9 |
| Open Chinese LLM Leaderboard | 62.88 | Official Nonzero-Task Mean (%) | 74.9 |
| Open LLM Leaderboard - MuSR | 43.48 | Score | 74.1 |
| Open LLM Leaderboard - MMLU-Pro | 39.67 | Score | 73 |
| Open LLM Leaderboard - BBH | 54.84 | Score | 72.8 |
Interactive version: theaggregate.ai/model?slug=dolphin-2-9-1-yi-1-5-9b · How It Works · Data refreshed daily, snapshot 2026-10-20.