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Natural Language Understanding on LM Evaluation Harness (MMLU-CoT, GSM8K)

72.76MMLU (CoT)BF16 Baseline
48.94455.12761.3167.493Nov 30, 2025

Evaluation results

MethodLinks
BF16 BaselineFormat=BF16, Model=Llama-3.1-8B-Instruct2025.1172.7685.0680.0177.978.93100
GPTQ-WUSHFormat=NVFP4, Quantization=W4A4, Model=Llama-3.1-8B-Instruct2025.1169.6980.1178.5276.0976.196.4
GPTQ-H (MR-GPTQ)Format=NVFP4, Quantization=W4A4, Model=Llama-3.1-8B-Instruct2025.1169.1280.878.1775.2475.8496.08
SmoothQuantFormat=NVFP4, Quantization=W4A4, Model=Llama-3.1-8B-Instruct2025.1168.979.579.574.775.795.9
GPTQ-IFormat=NVFP4, Quantization=W4A4, Model=Llama-3.1-8B-Instruct2025.1168.8582.678.2674.5175.7295.92
RTN-WUSHFormat=NVFP4, Quantization=W4A4, Model=Llama-3.1-8B-Instruct2025.1168.8378.5778.2275.4775.2895.37
RTN-IFormat=NVFP4, Quantization=W4A4, Model=Llama-3.1-8B-Instruct2025.1168.2678.3978.1574.1174.7394.67
GPTQ-WUSHFormat=MXFP4, Quantization=W4A4, Model=Llama-3.1-8B-Instruct2025.1167.7977.4177.4474.7874.3594.2
RTN-HFormat=NVFP4, Quantization=W4A4, Model=Llama-3.1-8B-Instruct2025.1167.4178.0177.3173.4874.0593.82
GPTQ-H (MR-GPTQ)Format=MXFP4, Quantization=W4A4, Model=Llama-3.1-8B-Instruct2025.1167.1975.776.9174.873.6593.31
RTN-WUSHFormat=MXFP4, Quantization=W4A4, Model=Llama-3.1-8B-Instruct2025.1166.8575.1677.2873.5673.2192.75
QuaRotFormat=NVFP4, Quantization=W4A4, Model=Llama-3.1-8B-Instruct2025.1166.577.477.2575.1474.193.8
SpinQuantFormat=NVFP4, Quantization=W4A4, Model=Llama-3.1-8B-Instruct2025.1166.576.176.9675.3273.793.4
SmoothQuantFormat=MXFP4, Quantization=W4A4, Model=Llama-3.1-8B-Instruct2025.1163.9368.5475.173.5670.389.06
GPTQ-IFormat=MXFP4, Quantization=W4A4, Model=Llama-3.1-8B-Instruct2025.1163.4968.4676.0174.5170.6289.47
RTN-HFormat=MXFP4, Quantization=W4A4, Model=Llama-3.1-8B-Instruct2025.1162.3872.4875.2971.6770.4589.26
RTN-IFormat=MXFP4, Quantization=W4A4, Model=Llama-3.1-8B-Instruct2025.1162.2167.8573.9973.2469.3287.83
SpinQuantFormat=MXFP4, Quantization=W4A4, Model=Llama-3.1-8B-Instruct2025.1161.868.1674.8772.9369.488
QuaRotFormat=MXFP4, Quantization=W4A4, Model=Llama-3.1-8B-Instruct2025.1149.8656.9473.571.4362.979.7