Llama 3 70B Fireplace: benchmark results
Valiant Labs' function-calling fine-tune of Llama 3 70B Instruct trained on the glaive-function-calling-v2 dataset. Provider: Valiant Labs. Released 2024-05-09. Access: Open.
Aggregate Rating 1484 ± 22, rank #833 of 1656 rated models, from 20 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - GSM8K | 83.62 | Accuracy (%) (5-shot) | 99.8 |
| Open LLM Leaderboard v1 - MMLU | 78.97 | Accuracy (%) (5-shot) | 99.4 |
| Open LLM Leaderboard - IFEval | 77.74 | Score | 93.8 |
| Open Chinese LLM - CMMLU | 71.6 | Accuracy (%) | 92 |
| Open LLM Leaderboard - BBH | 64.89 | Score | 90.8 |
| Open LLM Leaderboard - GPQA | 35.49 | Score | 89.4 |
| Open LLM Leaderboard - MMLU-Pro | 48.93 | Score | 87.1 |
| Open LLM Leaderboard v1 - ARC Challenge | 70.65 | Normalized accuracy (%) (25-shot) | 86.6 |
| Open LLM Leaderboard v1 - WinoGrande | 82.48 | Accuracy (%) (5-shot) | 84.3 |
| Open LLM Leaderboard - MuSR | 44.49 | Score | 80.8 |
| Open Chinese LLM - C-Eval Semantic | 85.71 | Accuracy (%) | 77.5 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 59.77 | MC2 (%) (0-shot) | 74.3 |
Interactive version: theaggregate.ai/model?slug=llama-3-70b-fireplace · How It Works · Data refreshed daily, snapshot 2026-10-20.