Knowledge on GPQA 0-shot
33.03ScoreUltraMix-190k
Evaluation Results
| Method | Links | |
|---|---|---|
| UltraMix-190kBase Model=Qwen-2.5-7B-TuluSFT, Training Mixture/Protocol=UM-190k2025.11 | 33.03 | |
| UltraMix-187kBase Model=Qwen-2.5-7B-TuluSFT, Training Mixture/Protocol=UM-187k2025.11 | 32.78 | |
| UltraMixTraining Method=DPO, Dataset=UM-190k, Evaluation Protocol=0-shot2025.11 | 32.03 | |
| UltraMix-190kBase Model=Llama-3.1-8B-TuluSFT, Training Mixture/Protocol=UM-190k2025.11 | 31.87 | |
| UltraMix-170kBase Model=Qwen-2.5-7B-TuluSFT, Training Mixture/Protocol=UM-170k2025.11 | 31.63 | |
| UltraMix-187kBase Model=Llama-3.1-8B-TuluSFT, Training Mixture/Protocol=UM-187k2025.11 | 31.46 | |
| UltraMixTraining Method=DPO, Dataset=UM-187k, Evaluation Protocol=0-shot2025.11 | 31.42 | |
| TuluDPOBase Model=Qwen-2.5-7B-TuluSFT, Training Mixture/Protocol=TuluDPO2025.11 | 31.29 | |
| SFTBase Model=Qwen-2.5-7B-TuluSFT, Training Mixture/Protocol=SFT2025.11 | 30.96 | |
| UltraMixTraining Method=DPO, Dataset=UM-170k, Evaluation Protocol=0-shot2025.11 | 30.79 | |
| TuluDPOTraining Method=DPO, Dataset=TuluDPO, Evaluation Protocol=0-shot2025.11 | 30.29 | |
| UltraMix-170kBase Model=Llama-3.1-8B-TuluSFT, Training Mixture/Protocol=UM-170k2025.11 | 29.94 | |
| ORPOTraining Method=ORPO, Dataset=ORPO, Evaluation Protocol=0-shot2025.11 | 29.78 | |
| UM-190kBase Model=OLMo-2-7B-SFT, DPO Training Dataset=UM-190k2025.11 | 29.78 | |
| UM-187kBase Model=OLMo-2-7B-SFT, DPO Training Dataset=UM-187k2025.11 | 29.68 | |
| TuluDPOBase Model=Llama-3.1-8B-TuluSFT, Training Mixture/Protocol=TuluDPO2025.11 | 29.61 | |
| UM-170kBase Model=OLMo-2-7B-SFT, DPO Training Dataset=UM-170k2025.11 | 28.61 | |
| SmolLM-3-3B-SFTTraining Method=SFT, Evaluation Protocol=0-shot2025.11 | 28.57 | |
| SFTBase Model=Llama-3.1-8B-TuluSFT, Training Mixture/Protocol=SFT2025.11 | 28.44 | |
| TuluDPOBase Model=OLMo-2-7B-SFT, DPO Training Dataset=TuluDPO2025.11 | 27.93 | |
| ORPOBase Model=OLMo-2-7B-SFT, DPO Training Dataset=ORPO2025.11 | 27.63 | |
| Instella-3B-SFT (UM-190k)DPO Training Dataset=UM-190k, Evaluation Protocol=0-shot2025.11 | 27.46 | |
| Instella-3B-SFT (UM-187k)DPO Training Dataset=UM-187k, Evaluation Protocol=0-shot2025.11 | 27.43 | |
| Instella-3B-SFT (UM-170k)DPO Training Dataset=UM-170k, Evaluation Protocol=0-shot2025.11 | 27.35 | |
| UltraFBBase Model=OLMo-2-7B-SFT, DPO Training Dataset=UltraFB2025.11 | 27.27 | |
| SFTBase Model=OLMo-2-7B-SFT, DPO Training Dataset=SFT2025.11 | 27.1 | |
| HelpSteerBase Model=OLMo-2-7B-SFT, DPO Training Dataset=HelpSteer2025.11 | 27.1 | |
| Instella-3B-SFT (TuluDPO)DPO Training Dataset=TuluDPO, Evaluation Protocol=0-shot2025.11 | 26.76 | |
| CodePrefBase Model=OLMo-2-7B-SFT, DPO Training Dataset=CodePref2025.11 | 26.67 | |
| Instella-3B-SFT (ORPO)DPO Training Dataset=ORPO, Evaluation Protocol=0-shot2025.11 | 26.43 | |
| Instella-3B-SFT (HelpSteer)DPO Training Dataset=HelpSteer, Evaluation Protocol=0-shot2025.11 | 26.43 | |
| HelpSteerTraining Method=DPO, Dataset=HelpSteer, Evaluation Protocol=0-shot2025.11 | 26.43 | |
| Instella-3B-SFT (CodePref)DPO Training Dataset=CodePref, Evaluation Protocol=0-shot2025.11 | 26.1 | |
| Instella-3B-SFT (UltraFB)DPO Training Dataset=UltraFB, Evaluation Protocol=0-shot2025.11 | 26.01 | |
| UltraFBTraining Method=DPO, Dataset=UltraFB, Evaluation Protocol=0-shot2025.11 | 26.01 | |
| CodePrefTraining Method=DPO, Dataset=CodePref, Evaluation Protocol=0-shot2025.11 | 26.01 | |
| Instella-3B-SFT (SFT)DPO Training Dataset=None (SFT Baseline), Evaluation Protocol=0-shot2025.11 | 25.84 |