How to modify model when `mi`>900? -with real data

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Attached pls find the real data `df_com`,I designed 10 factors model as below: 

lavaan_model<-'
f1=~q10+q12+q22+q23
f2=~q11+q20+q24+q26+q47+q49
f3=~q19+q21+q25+q52+q50+q58
f4=~q04+q17+q18+q45+q51+q59
f5=~q02+q05+q13+q14+q16+q44+q57
f6=~q06+q15+q34+q43+q46+q56
f7=~q31+q33+q36+q38+q40+q55+q48
f8=~q01+q08+q09+q29+q39+q41
f9=~q07+q27+q32+q35+q53
f10=~q28+q30+q37+q42+q54+q60'

After

cfa(lavaan_model,df_com,ordered=colnames(df_com)) %>% modificationindices

,I got result as below: 

     lhs op rhs     mi      epc
763   f5 =~ q21 980.89 -0.73431
815   f6 =~ q21 980.41 -0.76884
818   f6 =~ q50 976.38  0.75211
545   f1 =~ q21 921.43 -1.11413
710   f4 =~ q21 887.53 -0.61507
766   f5 =~ q50 862.57  0.69011
920   f8 =~ q21 861.01 -0.62573
973   f9 =~ q21 741.65 -0.62505

How to further modify this model?Any answer is welcom,thanks in advance.