Meta-LLama-3-Cat-Smaug-LLama-70B: benchmark results
gbueno86's SLERP merge of Smaug Llama 3 70B Instruct with the Llama 3 Cat 70B roleplay tune. Provider: gbueno86. Released 2024-05-24. Access: Open.
Aggregate Rating 1600 ± 46, rank #1009 of 10916 rated models, from 14 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open Chinese LLM - GSM8K | 72.93 | Accuracy (%) | 99.4 |
| Open LLM Leaderboard - IFEval | 80.72 | Score | 98.1 |
| Open Chinese LLM - CMMLU | 72.48 | Accuracy (%) | 96.7 |
| Open LLM Leaderboard - BBH | 66.74 | Score | 95.1 |
| Open Chinese LLM Leaderboard | 68.36 | Official Nonzero-Task Mean (%) | 90.5 |
| Open LLM Leaderboard - MMLU-Pro | 50.75 | Score | 88.3 |
| Open Chinese LLM - ARC Challenge | 59.64 | Accuracy (%) | 85.7 |
| Open Chinese LLM - C-Eval Semantic | 87.44 | Accuracy (%) | 85.4 |
| Open LLM Leaderboard - MATH Level 5 | 29.38 | Score | 81.4 |
| Open LLM Leaderboard - GPQA | 32.72 | Score | 79.2 |
| Open Chinese LLM - HellaSwag | 64.76 | Accuracy (%) | 77.8 |
| Open LLM Leaderboard - MuSR | 43.68 | Score | 75.7 |
Interactive version: theaggregate.ai/model?slug=meta-llama-3-cat-smaug-llama-70b · How It Works · Data refreshed daily, snapshot 2026-11-08.