L-MChat-7B: benchmark results
Artples' L-MChat 7B, a LazyMergekit merge of Nexusflow's Starling-LM-7B-beta and FuseAI's FuseChat-7B-VaRM. Provider: Artples. Released 2024-03-01. Access: Open.
Aggregate Rating 1426 ± 20, rank #1120 of 1656 rated models, from 31 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - GSM8K | 69.45 | Accuracy (%) (5-shot) | 89.2 |
| Open Medical LLM - PubMedQA | 76.6 | Accuracy (%) | 85.4 |
| Open LLM Leaderboard v1 - MMLU | 65.44 | Accuracy (%) (5-shot) | 84.4 |
| Open LLM Leaderboard v1 - WinoGrande | 81.37 | Accuracy (%) (5-shot) | 78.9 |
| Open LLM Leaderboard v1 - ARC Challenge | 65.61 | Normalized accuracy (%) (25-shot) | 70.5 |
| Open LLM Leaderboard v1 - HellaSwag | 84.59 | Normalized accuracy (%) (10-shot) | 67.2 |
| Open LLM Leaderboard - IFEval | 52.97 | Score | 62.9 |
| Open LLM Leaderboard - GPQA | 30.54 | Score | 62.3 |
| Open Medical LLM - MMLU Anatomy | 60.74 | Accuracy (%) | 51.3 |
| Open Medical LLM - MMLU College Biology | 74.31 | Accuracy (%) | 51 |
| Open Medical LLM - MMLU College Medicine | 62.43 | Accuracy (%) | 51 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 50.94 | MC2 (%) (0-shot) | 50 |
Interactive version: theaggregate.ai/model?slug=l-mchat-7b · How It Works · Data refreshed daily, snapshot 2026-10-20.