Calme-4x7B-MoE-v0.1 — benchmark results
MaziyarPanahi's MoE combining four of his Calme-7B Mistral fine-tunes, aimed at generating notably clear, calm and coherent text. Provider: Other. Released 2024-03-17. Access: Open.
Unified ELO 1403 ± 12, rank #1209 of 1776 rated models, from 15 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open Chinese LLM - TruthfulQA MC | 61.25 | Accuracy (%) | 88.1 |
| Open Korean LLM Leaderboard | 345.98 | Average Score (%) | 70.5 |
| Open Chinese LLM - GSM8K | 50.11 | Accuracy (%) | 67.8 |
| Open LLM Leaderboard - BBH | 31.26 | Score | 56.3 |
| Open Chinese LLM - WinoGrande | 63.3 | Accuracy (%) | 54.9 |
| Open LLM Leaderboard - MuSR | 10.62 | Score | 53.5 |
| Open Chinese LLM Leaderboard | 56.65 | Average Score (%) | 50.7 |
| Open Chinese LLM - ARC Challenge | 52.39 | Accuracy (%) | 49.4 |
| Open Chinese LLM - HellaSwag | 59.65 | Accuracy (%) | 47.3 |
| Open LLM Leaderboard - IFEval | 43.15 | Score | 45.2 |
| Open LLM Leaderboard - MATH Level 5 | 8.01 | Score | 40.9 |
| Open LLM Leaderboard - MMLU-Pro | 22.85 | Score | 38.4 |
Interactive version: theaggregate.ai/model?slug=calme-4x7b-moe-v0-1 · How the rankings work · Data refreshed daily, snapshot 2026-07-22.