In　this　paper,　we　introduce　a　new　varying-coefficient　partially　functional　linear　quantile　regression　model,　which　combines　varying-coefficient　quantile　regression　model　with　functional　linear　quantile　regression　model.　The　functional　principal　component　basis　and　regression　splines　are　employed　to　estimate　the　slope　function　and　varying-coefficient　functions,　respectively,　and　the　convergence　rates　of　the　estimators　are　obtained　under　some　regularity　conditions.　Simulations　and　an　illustrative　real　example　are　presented.　(C)　2017　The　Korean　Statistical　Society.　Published　by　Elsevier　B.V.　All　rights　reserved.