bagel-dpo-34B-v0.5 — benchmark results
Jon Durbin's bagel v0.5 DPO tune of Yi-34B-200K, SFT'd on 40+ datasets in four prompt formats then refined with preference DPO. Provider: Jon Durbin. Released 2024-04-01. Access: Open.
Unified ELO 1424 ± 25, rank #1112 of 1776 rated models, from 14 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open Chinese LLM - C-Eval Semantic | 90.06 | Accuracy (%) | 92.9 |
| Open Chinese LLM - ARC Challenge | 62.37 | Accuracy (%) | 92.7 |
| Open Chinese LLM - CMMLU | 71.31 | Accuracy (%) | 91.4 |
| Open Chinese LLM - HellaSwag | 67.78 | Accuracy (%) | 84.4 |
| Open Chinese LLM - WinoGrande | 67.32 | Accuracy (%) | 81.8 |
| Open Chinese LLM Leaderboard | 61.82 | Average Score (%) | 74.2 |
| Open Chinese LLM - TruthfulQA MC | 57.4 | Accuracy (%) | 73 |
| RewardBench Reasoning | 88.89 | Accuracy (%) | 69.8 |
| RewardBench | 72.15 | Score (%) | 60.5 |
| RewardBench Chat | 93.85 | Accuracy (%) | 47.4 |
| RewardBench Chat Hard | 55.04 | Accuracy (%) | 33.5 |
| RewardBench Safety | 64.46 | Accuracy (%) | 17.9 |
Interactive version: theaggregate.ai/model?slug=bagel-dpo-34b-v0-5 · How the rankings work · Data refreshed daily, snapshot 2026-07-22.