TomGrc_FusionNet_34Bx2_MoE_v0.1_DPO_f16: benchmark results
Provider: Other. Access: Open.
Unified ELO 1568 ± 16, rank #801 of 2928 rated models, from 14 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - GSM8K | 74.45 | Accuracy (%) (5-shot) | 99.1 |
| Open LLM Leaderboard v1 - ARC Challenge | 74.06 | Normalized accuracy (%) (25-shot) | 98.9 |
| Open Chinese LLM - WinoGrande | 72.06 | Accuracy (%) | 98.8 |
| Open LLM Leaderboard v1 - MMLU | 76.65 | Accuracy (%) (5-shot) | 97.8 |
| Open Chinese LLM - ARC Challenge | 66.3 | Accuracy (%) | 97.6 |
| Open Chinese LLM - HellaSwag | 71.08 | Accuracy (%) | 95.4 |
| Open Chinese LLM - C-Eval Semantic | 90.5 | Accuracy (%) | 95 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 72.24 | MC2 (%) (0-shot) | 93.3 |
| Open Chinese LLM - TruthfulQA MC | 62.18 | Accuracy (%) | 90.5 |
| Open LLM Leaderboard v1 - WinoGrande | 83.35 | Accuracy (%) (5-shot) | 88.4 |
| Open Chinese LLM - CMMLU | 70.13 | Accuracy (%) | 85.5 |
| Open Chinese LLM Leaderboard | 66.39 | Average Score (%) | 83.7 |
Interactive version: theaggregate.ai/model?slug=tomgrc-fusionnet-34bx2-moe-v0-1-dpo-f16 · How It Works · Data refreshed daily, snapshot 2026-09-23.