Faro-Yi-9B-DPO — benchmark results
Wenbo Pan's DPO-tuned Faro-Yi-9B, a long-context Yi-9B derivative preference-trained on UltraFeedback, Orca, and Truthy DPO pairs. Provider: Other. Released 2024-04-07. Access: Open.
Unified ELO 1417 ± 24, rank #1142 of 1776 rated models, from 21 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open CoT - LSAT Logical Reasoning | 18.24 | CoT Gain (%) | 85.9 |
| Open CoT - LSAT Reading Comprehension | 19.7 | CoT Gain (%) | 84 |
| Open Korean LLM Leaderboard | 464.51 | Average Score (%) | 83.8 |
| Open CoT - LogiQA 2 | 12.91 | CoT Gain (%) | 83.2 |
| Open Chinese LLM - WinoGrande | 66.69 | Accuracy (%) | 80 |
| Open Chinese LLM - C-Eval Semantic | 86.22 | Accuracy (%) | 79.1 |
| Open Chinese LLM Leaderboard | 63.94 | Average Score (%) | 77.7 |
| Open Chinese LLM - ARC Challenge | 57.76 | Accuracy (%) | 76.6 |
| Open Chinese LLM - HellaSwag | 64.24 | Accuracy (%) | 76 |
| Open Chinese LLM - CMMLU | 63.5 | Accuracy (%) | 74.5 |
| Open Chinese LLM - GSM8K | 53.37 | Accuracy (%) | 72.3 |
| Open CoT Leaderboard | 10.8 | Average CoT Gain (%) | 70.2 |
Interactive version: theaggregate.ai/model?slug=faro-yi-9b-dpo · How the rankings work · Data refreshed daily, snapshot 2026-07-22.