NeuralLLaMa-3-8B-ORPO-v0.3 — benchmark results
Kukedlc's ORPO fine-tune of Llama 3 8B Instruct, preference-trained on mlabonne's orpo-dpo-mix-40k dataset. Provider: Other. Released 2024-05-01. Access: Open.
Unified ELO 1426 ± 38, rank #1102 of 1776 rated models, from 31 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open CoT - LogiQA 2 | 16.48 | CoT Gain (%) | 96.9 |
| Open CoT - LogiQA | 10.22 | CoT Gain (%) | 95.4 |
| Open CoT Leaderboard | 14.52 | Average CoT Gain (%) | 94.7 |
| Open CoT - LSAT Logical Reasoning | 20.2 | CoT Gain (%) | 93.1 |
| Open Medical LLM - MedMCQA | 58.52 | Accuracy (%) | 90.3 |
| Open Medical LLM - PubMedQA | 77 | Accuracy (%) | 89.2 |
| Open CoT - LSAT Reading Comprehension | 20.07 | CoT Gain (%) | 85.9 |
| Open Medical LLM - MMLU College Biology | 79.86 | Accuracy (%) | 85.5 |
| Open Medical LLM - MedQA (USMLE) | 61.19 | Accuracy (%) | 82.4 |
| Open Medical LLM | 70.4 | Average Accuracy (%) | 79 |
| Open Medical LLM - MMLU Professional Medicine | 74.26 | Accuracy (%) | 78.1 |
| Open Medical LLM - MMLU Medical Genetics | 82 | Accuracy (%) | 77.8 |
Interactive version: theaggregate.ai/model?slug=neuralllama-3-8b-orpo-v0-3 · How the rankings work · Data refreshed daily, snapshot 2026-07-22.