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A head-to-head benchmark comparison of Yi-1.5-34B across 18 evaluations.
Yi-1.5 is an upgraded version of Yi. It is continuously pre-trained on Yi with a high-quality corpus of 500B tokens and fine-tuned on 3M diverse fine-tuning sam.
Full Yi-1.5-34B specs →| Benchmark | Yi-1.5-34B |
|---|---|
| code | |
| HumanEval | 46.3% |
| MBPP | 65.5% |
| coding | |
| EvalPlus | 51.9 |
| MultiPL-E | 39.5 |
| general | |
| AlpacaEval 2 | 34.8% |
| ArenaHard | 23.1% |
| IFEval | 55.5% |
| LiveBench | 26.2 |
| MMLU | 77.1% |
| MMLU-Pro | 48.3% |
| knowledge | |
| ARC-Challenge | 65.6 |
| CMMLU | 84.8 |
| math | |
| GSM8K | 82.7% |
| MATH | 41.7% |
| reasoning | |
| BIG-Bench Hard | 76.4% |
| HellaSwag | 85.9 |
| Winogrande | 84.9 |
| safety | |
| TruthfulQA | 53.9% |
Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.
Yi-1.5-34B has the strongest result on HumanEval among the models compared here. See the code-category rows in the table for the full picture.
This comparison covers 18 benchmarks on which at least one of the selected models has a published score.
Scores are aggregated from official model cards, technical reports and standard public evaluations, and link back to each benchmark's source. They are updated as new results are published.
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