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Long-context retrieval on Multi-task NIAH 4K–128K context lengths Llama-3.1-8B-Instruct

100Accuracy (Single)fp16
28.03246.71665.484.084Jun 23, 2026

Evaluation results

MethodLinks
fp16Backbone=Llama-3.1-8B-Instruct, Quantization Budget=fp162026.0610010010099.510097.899.6
TQ-MSEBackbone=Llama-3.1-8B-Instruct, Quantization Budget=K3V32026.0610099.510010099.587.497.7
Block-GTQBackbone=Llama-3.1-8B-Instruct, Quantization Budget=K3V32026.0610010010010099.790.798.4
TQ-MSEBackbone=Llama-3.1-8B-Instruct, Quantization Budget=K3V22026.061009910096.1978295.7
Block-GTQBackbone=Llama-3.1-8B-Instruct, Quantization Budget=K3V22026.0610010010010099.781.196.8
Block-GTQBackbone=Llama-3.1-8B-Instruct, Quantization Budget=K2V22026.061009910098.510086.797.4
TQ-MSEBackbone=Llama-3.1-8B-Instruct, Quantization Budget=K2V22026.0693.970.780.847.671.958.870.6
KIVI-ScaleOnlyBackbone=Llama-3.1-8B-Instruct, Quantization Budget=K3V22026.0639.45034.33124.127.634.4
KIVI-ScaleOnlyBackbone=Llama-3.1-8B-Instruct, Quantization Budget=K3V32026.0638.449.536.433.326.628.335.4
KIVI-ScaleOnlyBackbone=Llama-3.1-8B-Instruct, Quantization Budget=K2V22026.0630.832.823.220.916.221.624.2