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Long-context Understanding on HELMET 2025

61.44Accuracy (8K Context)MInference
43.541648.188352.83557.4817Dec 16, 2025

Evaluation results

MethodLinks
MInferenceModel (Backbone)=Llama-3.1-8B-Instruct2025.1261.4456.3457.9655.4953.6948.2955.37
UniSparseModel (Backbone)=Llama-3.1-8B-Instruct, Sparsity Threshold (Top-P)=0.952025.1261.3748.6558.3456.2255.2750.2256.21
FlashAttentionModel (Backbone)=Llama-3.1-8B-Instruct2025.1261.06—58.7356.5755.9249.7956.41
UniSparseModel (Backbone)=Llama-3.1-8B-Instruct, Sparsity Threshold (Top-P)=0.92025.1260.8661.8257.756.2154.2448.9155.58
XAttentionModel (Backbone)=Llama-3.1-8B-Instruct, Sparsity Threshold (Top-P)=0.952025.1260.7647.4557.855.9254.7549.3755.72
FlexPrefillModel (Backbone)=Llama-3.1-8B-Instruct, Sparsity Threshold (Top-P)=0.992025.1260.6638.5258.0556.2255.4449.6856.01
XAttentionModel (Backbone)=Llama-3.1-8B-Instruct, Sparsity Threshold (Top-P)=0.92025.1259.8159.857.455.5553.7447.7454.85
FlexPrefillModel (Backbone)=Llama-3.1-8B-Instruct, Sparsity Threshold (Top-P)=0.952025.1255.8965.9254.7353.1450.4548.4252.53
FlashAttentionModel (Backbone)=Qwen2.5-7B-Instruct2025.1255.1—50.5448.5144.8539.3347.67
MInferenceModel (Backbone)=Qwen2.5-7B-Instruct2025.1254.9146.9550.3646.9342.6234.0545.77
XAttentionModel (Backbone)=Qwen2.5-7B-Instruct, Sparsity Threshold (Top-P)=0.952025.1253.9347.3149.5947.144.6538.1946.69
UniSparseModel (Backbone)=Qwen2.5-7B-Instruct, Sparsity Threshold (Top-P)=0.952025.1253.9147.5149.9647.7644.9538.5847.03
UniSparseModel (Backbone)=Qwen2.5-7B-Instruct, Sparsity Threshold (Top-P)=0.92025.1253.1360.8448.6246.9344.2238.1146.2
FlexPrefillModel (Backbone)=Qwen2.5-7B-Instruct, Sparsity Threshold (Top-P)=0.992025.1252.7737.7548.9146.3943.0636.645.55
XAttentionModel (Backbone)=Qwen2.5-7B-Instruct, Sparsity Threshold (Top-P)=0.92025.1252.4659.0847.9945.6343.1736.9245.23
FlexPrefillModel (Backbone)=Qwen2.5-7B-Instruct, Sparsity Threshold (Top-P)=0.952025.1244.2363.0340.7939.8736.2830.0638.25