_model_llama_3.8B_Instruct_fine_tuned_xMR_1e [float16] [rev: 85badbbddcdf]: benchmark results
Provider: Other.
Aggregate Rating 1425 ± 36, rank #4934 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - MMLU | 68.09 | Accuracy (%) (5-shot) | 90.6 |
| Open LLM Leaderboard v1 - GSM8K | 69.6 | Accuracy (%) (5-shot) | 89.8 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 52.52 | MC2 (%) (0-shot) | 56.4 |
| Open LLM Leaderboard v1 - ARC Challenge | 61.43 | Normalized accuracy (%) (25-shot) | 52.8 |
| Open LLM Leaderboard v1 - WinoGrande | 75.22 | Accuracy (%) (5-shot) | 40.9 |
| Open LLM Leaderboard v1 - HellaSwag | 78.76 | Normalized accuracy (%) (10-shot) | 35.6 |
Interactive version: theaggregate.ai/model?slug=model-llama-3-8b-instruct-fine-tuned-xmr-1e-float16-rev-85badbbddcdf · How It Works · Data refreshed daily, snapshot 2026-11-08.