General Knowledge and Reasoning on BBH, MMLU, CMMLU, and C-Eval Suite
59.48BBHQwen3-Inst
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Qwen3-InstArchitecture=Dense, Total Parameters=1.7B, Activated Parameters=1.7B, Training Tokens=36T, Supervised fine-tuning=true2025.11 | 59.48 | 63.05 | 60.84 | 62.7 | |
| HSA-UL-InstArchitecture=MoE, Total Parameters=8B, Activated Parameters=1B, Training Tokens=8T, Supervised fine-tuning=true2025.11 | 57.25 | 61.34 | 64.06 | 62.86 | |
| Qwen3-InstArchitecture=Dense, Total Parameters=0.6B, Activated Parameters=0.6B, Training Tokens=36T, Supervised fine-tuning=true2025.11 | 42.56 | 45.87 | 41.64 | 43.81 | |
| HSA-UL-InstArchitecture=Dense, Total Parameters=0.5B, Activated Parameters=0.5B, Training Tokens=4T, Supervised fine-tuning=true2025.11 | 26.25 | 42.24 | 43.33 | 45.41 |