Medical Question Answering on MMedBench 1.0 (test)
84.47Chinese AccuracyQwen2.5-14B
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| Qwen2.5-14BTrain Set=MMedBench2026.01 | 84.47 | 71.48 | 64.15 | 66.33 | 75.39 | 78.77 | 73.11 | |
| Qwen2.5-14BTrain Set=MMed-Reason2026.01 | 82.89 | 75.73 | 72.03 | 68.34 | 75.78 | 82.39 | 75.97 | |
| Qwen2.5-7BTrain Set=MMedBench2026.01 | 81.47 | 61.67 | 47.72 | 48.74 | 69.53 | 67.18 | 62.16 | |
| Qwen2.5-7BTrain Set=MMed-Reason2026.01 | 78.78 | 62.37 | 54.66 | 56.78 | 70.31 | 69.22 | 64.98 | |
| MedGemma-27BTrain Set=None2026.01 | 73.5 | 71.09 | 41.16 | 60.08 | 72.27 | 79.72 | 65.88 | |
| MMedLM2-7BTrain Set=None2026.01 | 70.43 | 58.13 | 54.27 | 38.26 | 71.88 | 64.95 | 59.32 | |
| Gemma-7B-itTrain Set=MMedBench2026.01 | 56.07 | 52.16 | 34.89 | 34.67 | 63.28 | 57.51 | 49.45 | |
| Gemma-7B-itTrain Set=MMed-Reason2026.01 | 52.38 | 52.08 | 40.03 | 41.71 | 64.45 | 58.06 | 51.39 | |
| BioMistral-7BTrain Set=None2026.01 | 25.89 | 19.17 | 10.13 | 8.54 | 54.3 | 25.67 | 24.66 |