diff --git a/src/presolve/presolve.jl b/src/presolve/presolve.jl
index f04f628..770bad8 100644
--- a/src/presolve/presolve.jl
+++ b/src/presolve/presolve.jl
@@ -208,7 +208,6 @@ function presolve(
   lvar, uvar = psqm.meta.lvar, psqm.meta.uvar
   lcon, ucon = psqm.meta.lcon, psqm.meta.ucon
   nvar, ncon = psqm.meta.nvar, psqm.meta.ncon
-  resize!(psdata.v, nvar)
 
   # copy if same vector
   lcon === ucon && (lcon = copy(lcon))
@@ -380,6 +379,7 @@ function presolve(
       kwargs...,
     )
     ps = PresolvedQuadraticModel(psmeta, Counters(), psdata, psd)
+    resize!(ps.data.v, nvarps)
     return GenericExecutionStats(
       ps,
       status = :unknown,
diff --git a/src/qpmodel.jl b/src/qpmodel.jl
index 6ace079..cdd698b 100644
--- a/src/qpmodel.jl
+++ b/src/qpmodel.jl
@@ -252,7 +252,7 @@ function NLPModels.objgrad!(qp::AbstractQuadraticModel, x::AbstractVector, g::Ab
   NLPModels.increment!(qp, :neval_grad)
   mul!(g, Symmetric(qp.data.H, :L), x)
   f = qp.data.c0 + dot(qp.data.c, x) + dot(g, x) / 2
-  @. g .+= qp.data.c
+  g .+= qp.data.c
   return f, g
 end