_model_llama_3.8B_Instruct_fine_tuned_xMR_1e [bfloat16] [rev: 85badbbddcdf]: benchmark results
Provider: Other.
Aggregate Rating 1424 ± 36, rank #4950 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - GSM8K | 71.04 | Accuracy (%) (5-shot) | 95 |
| Open LLM Leaderboard v1 - MMLU | 68.05 | Accuracy (%) (5-shot) | 90.4 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 52.49 | MC2 (%) (0-shot) | 56.2 |
| Open LLM Leaderboard v1 - ARC Challenge | 61.43 | Normalized accuracy (%) (25-shot) | 52.8 |
| Open LLM Leaderboard v1 - WinoGrande | 74.66 | Accuracy (%) (5-shot) | 37.9 |
| Open LLM Leaderboard v1 - HellaSwag | 78.83 | Normalized accuracy (%) (10-shot) | 35.9 |
Interactive version: theaggregate.ai/model?slug=model-llama-3-8b-instruct-fine-tuned-xmr-1e-bfloat16-rev-85badbbddcdf · How It Works · Data refreshed daily, snapshot 2026-11-08.