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Zero-shot Downstream Evaluation on ARC, PIQA, HellaSwag, WinoGrande, LAMBADA, RACE

56.57ARC-E AccuracyUNIPOOL
45.275648.207851.1454.0722May 7, 2026

Evaluation results

MethodLinks
UNIPOOLSetting=8E / top-1, Scale=830M, Zero-shot=true2026.0556.572568.7736.952.4947.3732.6345.67
UNIPOOLSetting=8E / top-1, Scale=978M, Zero-shot=true2026.0554.3422.2769.2136.1952.1744.9429.3844.07
Vanilla MoESetting=8E / top-1, Scale=978M, Zero-shot=true2026.0553.2423.2168.0135.8352.0144.6330.4343.91
UNIPOOLSetting=8E / top-1, Scale=469M, Zero-shot=true2026.0553.1621.4267.333.952.7242.1931.143.11
Vanilla MoESetting=8E / top-1, Scale=830M, Zero-shot=true2026.0552.5323.8968.9335.3652.3343.1430.5343.82
UNIPOOLSetting=32E / top-4, Scale=182M, Zero-shot=true2026.0552.4422.2767.4134.3250.5140.7730.6242.62
UNIPOOLSetting=8E / top-1, Scale=650M, Zero-shot=true2026.0552.0222.6167.935.5552.4944.2831.6743.79
Vanilla MoESetting=8E / top-1, Scale=650M, Zero-shot=true2026.0551.9421.2567.0334.5353.0443.7429.7643.04
Vanilla MoESetting=8E / top-1, Scale=469M, Zero-shot=true2026.0550.5121.0866.3232.7251.1440.2129.3841.62
Vanilla MoESetting=32E / top-4, Scale=182M, Zero-shot=true2026.0550.0821.0866.4332.9151.5439.412941.49
UNIPOOLSetting=16E / top-2, Scale=182M, Zero-shot=true2026.0549.2420.2265.4532.3354.2237.8629.1941.22
Vanilla MoESetting=16E / top-2, Scale=182M, Zero-shot=true2026.0548.8221.5965.0731.8349.7236.4828.840.33
UNIPOOLSetting=8E / top-1, Scale=182M, Zero-shot=true2026.0546.7220.4864.3630.6650.9934.5629.4739.61
Vanilla MoESetting=8E / top-1, Scale=182M, Zero-shot=true2026.0545.7119.9763.1129.9850.9932.7828.6138.74