dzakwan-MoE-4x7B-Beta — benchmark results
dzakwan's LazyMergekit 4x7B MoE reusing the Beyonder-v3 expert recipe: AlphaMonarch, CodeNinja, Kunoichi-DPO-v2 and NeuralDaredevil. Provider: Other. Released 2024-09-11. Access: Open.
Unified ELO 1406 ± 12, rank #1196 of 1776 rated models, from 15 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open Chinese LLM - TruthfulQA MC | 61.18 | Accuracy (%) | 87.5 |
| Open Korean LLM Leaderboard | 357.53 | Average Score (%) | 71.8 |
| Open LLM Leaderboard - MuSR | 12.11 | Score | 65.8 |
| Open Chinese LLM - GSM8K | 48.07 | Accuracy (%) | 61.4 |
| Open LLM Leaderboard - BBH | 32.07 | Score | 59.8 |
| Open Chinese LLM - ARC Challenge | 53.67 | Accuracy (%) | 58.8 |
| Open Chinese LLM - HellaSwag | 60.45 | Accuracy (%) | 51.9 |
| Open LLM Leaderboard - IFEval | 44.43 | Score | 48.4 |
| Open Chinese LLM Leaderboard | 56.25 | Average Score (%) | 44.8 |
| Open LLM Leaderboard - GPQA | 4.81 | Score | 41 |
| Open LLM Leaderboard - MMLU-Pro | 23.42 | Score | 40.4 |
| Open LLM Leaderboard - MATH Level 5 | 7.78 | Score | 40.1 |
Interactive version: theaggregate.ai/model?slug=dzakwan-moe-4x7b-beta · How the rankings work · Data refreshed daily, snapshot 2026-07-22.