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Language Model Evaluation on Open LLM Leaderboard v2 (test)

60.84BBHQwen3-8B
12.469625.027337.58550.1427Oct 28, 2024Jan 29, 2025May 2, 2025Aug 4, 2025Nov 5, 2025Feb 6, 2026May 11, 2026

Evaluation results

MethodLinks
Qwen3-8BCR=Original, Base Model=Qwen3-8B2026.0260.8436.3339.2152.4947.6243.12—
COMPOTCR=0.2, Base Model=Qwen3-8B, Mode=dynamic2026.0250.2231.9633.4512.7638.5541.8—
COMPOT†CR=0.2, Base Model=Qwen3-8B, Mode=static2026.0249.3330.5430.466.7235.9245.11—
Mistral+UFTTraining Stage=Instruction-tuning, Model=Mistral+UFT2024.1046.5529.2428.893.8730.2541.7330.09
Mistral+SFTTraining Stage=Instruction-tuning, Model=Mistral+SFT2024.1046.0428.7229.52.6629.3542.9429.87
Mistral+UFTTraining Stage=Instruction-tuning and Alignment, Model=Mistral+UFT2024.1045.4631.1546.033.1330.0541.0632.81
COMPOTCR=0.3, Base Model=Qwen3-8B, Mode=dynamic2026.0244.8728.9431.892.4932.8540.34—
Mistral+SFT+DPOTraining Stage=Instruction-tuning and Alignment, Model=Mistral+SFT+DPO2024.1044.5229.9826.643.1329.9540.3129.09
MistralModel=Mistral2024.1044.1129.5323.222.9230.1141.7928.61
Mistral+SFT+UNATraining Stage=Instruction-tuning and Alignment, Model=Mistral+SFT+UNA2024.1043.7430.7826.822.9630.0940.5629.16
Mistral+SFT+KTOTraining Stage=Instruction-tuning and Alignment, Model=Mistral+SFT+KTO2024.1042.893125.172.9430.4840.5928.85
COMPOT†CR=0.3, Base Model=Qwen3-8B, Mode=static2026.0241.4528.8626.741.5129.4640.61—
SVD-LLMCR=0.2, Base Model=Qwen3-8B2026.0241.0328.2725.661.0626.339.81—
COMPOTCR=0.4, Base Model=Qwen3-8B, Mode=dynamic2026.0237.5128.126.140.9826.4438.89—
Qwen3-0.6BCR=Original, Base Model=Qwen3-0.6B2026.0236.8528.2727.5812.6924.2631.35—
SVD-LLMCR=0.3, Base Model=Qwen3-8B2026.0234.325.5922.661.0618.7341.4—
COMPOT†CR=0.4, Base Model=Qwen3-8B, Mode=static2026.0234.1324.7523.141.0621.2341.27—
COMPOT†CR=0.3, Base Model=Qwen3-0.6B, Mode=static2026.0230.8323.4925.060.2310.8532.8—
SVD-LLMCR=0.4, Base Model=Qwen3-8B2026.0230.2422.9922.420.8311.5437.57—
COMPOTCR=0.2, Base Model=Qwen3-0.6B, Mode=dynamic2026.0230.1925.3425.90.9114.8133.2—
COMPOTCR=0.3, Base Model=Qwen3-0.6B, Mode=dynamic2026.0229.9926.5927.70.6811.4335.71—
SVD-LLMCR=0.3, Base Model=Qwen3-0.6B2026.0229.7325.524.34011.2233.73—
COMPOT†CR=0.4, Base Model=Qwen3-0.6B, Mode=static2026.0229.2125.8424.580.9810.8536.51—
COMPOT†CR=0.2, Base Model=Qwen3-0.6B, Mode=static2026.0229.227.9427.221.0612.8135.19—
COMPOTCR=0.4, Base Model=Qwen3-0.6B, Mode=dynamic2026.0229.0623.7426.620.3810.6633.73—
SVD-LLMCR=0.4, Base Model=Qwen3-0.6B2026.0229.0124.3322.3010.9836.24—
SVD-LLMCR=0.2, Base Model=Qwen3-0.6B2026.0228.9524.7525.3011.2935.58—
SPIN Iter-3Model=Llama3.1-8B2026.0528.463.3644.135.2122.9212.9619.51
SPIN Iter-4Model=Llama3.1-8B2026.0528.363.844.014.9823.0213.4419.6
SPIN Iter-2Model=Llama3.1-8B2026.0528.174.8143.215.1422.9313.2819.59
TPAW Iter-1Model=Llama3.1-8B2026.0528.166.1538.765.2123.1713.6519.18
TPAW Iter-4Model=Llama3.1-8B2026.0528.146.1545.126.3423.5615.7320.84
SPIN Iter-1Model=Llama3.1-8B2026.0528.056.2642.914.8322.8413.1719.68
TPAW Iter-2Model=Llama3.1-8B2026.0527.856.3842.436.1923.0216.2220.35
TPAW Iter-3Model=Llama3.1-8B2026.0527.826.2645.045.8923.3416.1620.75
SFTModel=Llama3.1-8B2026.0526.286.1536.344.6121.0111.7717.69
DPOModel=Llama3.1-8B2026.0525.836.636.834.5321.9111.7817.91
DPOModel=Qwen2.5-1.5B2026.0516.252.2431.799.8918.242.5713.5
TPAW Iter-1Model=Qwen2.5-1.5B2026.0515.63.2432.358.6917.655.6613.87
TPAW Iter-4Model=Qwen2.5-1.5B2026.0515.514.3636.049.3717.824.7314.64
SPIN Iter-1Model=Qwen2.5-1.5B2026.0515.474.0332.448.2317.575.5513.88
TPAW Iter-2Model=Qwen2.5-1.5B2026.0515.374.3635.528.6917.725.9814.61
SPIN Iter-2Model=Qwen2.5-1.5B2026.0515.223.6933.978.9917.525.6514.17
SFTModel=Qwen2.5-1.5B2026.0515.153.4731.736.6517.386.0213.4
TPAW Iter-3Model=Qwen2.5-1.5B2026.0515.034.1436.110.218.035.4314.82
SPIN Iter-3Model=Qwen2.5-1.5B2026.0514.444.4735.349.0617.585.1614.34
SPIN Iter-4Model=Qwen2.5-1.5B2026.0514.334.2533.829.2117.545.714.14
CodePrefBase Model=OLMo-2-7B-SFT, DPO Training Dataset=CodePref2025.11——————34.41
HelpSteerBase Model=OLMo-2-7B-SFT, DPO Training Dataset=HelpSteer2025.11——————34.3
ORPOBase Model=OLMo-2-7B-SFT, DPO Training Dataset=ORPO2025.11——————35.66
SFTBase Model=OLMo-2-7B-SFT, DPO Training Dataset=SFT2025.11——————33.99
TuluDPOBase Model=OLMo-2-7B-SFT, DPO Training Dataset=TuluDPO2025.11——————36.35
UltraFBBase Model=OLMo-2-7B-SFT, DPO Training Dataset=UltraFB2025.11——————35.54
UM-170kBase Model=OLMo-2-7B-SFT, DPO Training Dataset=UM-170k2025.11——————36.9
UM-187kBase Model=OLMo-2-7B-SFT, DPO Training Dataset=UM-187k2025.11——————37.45
UM-190kBase Model=OLMo-2-7B-SFT, DPO Training Dataset=UM-190k2025.11——————37.63