JSL-MedLlama-3-8B-v2.0 [bfloat16] [rev: f3d41874ba49]: benchmark results
Provider: John Snow Labs. Access: Open.
Aggregate Rating 1411 ± 34, rank #5573 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - MMLU | 66.64 | Accuracy (%) (5-shot) | 87.8 |
| Open LLM Leaderboard v1 - GSM8K | 40.86 | Accuracy (%) (5-shot) | 56.1 |
| Open LLM Leaderboard v1 - ARC Challenge | 61.95 | Normalized accuracy (%) (25-shot) | 55.2 |
| Open LLM Leaderboard v1 - HellaSwag | 81.5 | Normalized accuracy (%) (10-shot) | 45.3 |
| Open LLM Leaderboard v1 - WinoGrande | 75.53 | Accuracy (%) (5-shot) | 42.7 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 45.08 | MC2 (%) (0-shot) | 29.6 |
Interactive version: theaggregate.ai/model?slug=jsl-medllama-3-8b-v2-0-bfloat16-rev-f3d41874ba49 · How It Works · Data refreshed daily, snapshot 2026-11-08.