Llama-3-Base-8B-SFT-SLiC-HF: benchmark results
Princeton NLP's SLiC-HF baseline on its Llama 3 8B SFT base, part of the SimPO paper's preference-optimization baseline suite. Provider: Meta. Released 2024-07-06. Access: Open.
Unified ELO 1505 ± 1, rank #737 of 1553 rated models, from 7 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open Korean LLM Leaderboard | 44.53 | Average Score (%) | 88.9 |
| Open LLM Leaderboard - IFEval | 48.9 | Score | 57.1 |
| Open LLM Leaderboard - MuSR | 10.27 | Score | 51.3 |
| Open LLM Leaderboard - GPQA | 4.92 | Score | 41.8 |
| Open LLM Leaderboard - BBH | 26.37 | Score | 41.2 |
| Open LLM Leaderboard - MMLU-Pro | 22.93 | Score | 38.7 |
| Open LLM Leaderboard - MATH Level 5 | 5.06 | Score | 28.2 |
Interactive version: theaggregate.ai/model?slug=llama-3-base-8b-sft-slic-hf · How It Works · Data refreshed daily, snapshot 2026-09-08.