I've used ConQuest version 4.14.2. My dataset contains 90 items and 3086 persons. The following is the command that I have used:
datafile 90.dat;
format id 98-101 responses 1-90;
labels << 90.lab;
key BDCDCDACDABDCADBBBCDCACBBCCDABABABCCBCBADABAABDBACDCBCBDBDDDAAACCAABDACACDDDDDBAACCCADCCBB ! 1;
score (0,1) (0,1) () () () () ()! items(1-9,55,62,67,73,79,85);
score (0,1) () (0,1) () () () ()! items(10-18,57,63,68,74,82,87);
score (0,1) () () (0,1) () () ()! items(19-27,56,61,70,75,80,88);
score (0,1) () () () (0,1) () ()! items(28-36,58,64,69,77,81,86);
score (0,1) () () () () (0,1) ()! items(37-45,59,65,71,76,83,89);
score (0,1) () () () () () (0,1)! items(46-54,60,66,72,78,84,90);
model item! rasch;
export parameters >>90.prm;
export reg_coefficients >>90.reg;
export covariance >>90.cov;
estimate! method=monte carlo,nodes=200,converge=.01,stderr=quick,abilities=yes;
reset;
datafile 90.dat;
format id 98-101 responses 1-90;
labels << 90.lab;
key BDCDCDACDABDCADBBBCDCACBBCCDABABABCCBCBADABAABDBACDCBCBDBDDDAAACCAABDACACDDDDDBAACCCADCCBB ! 1;
score (0,1) (0,1) () () () () ()! items(1-9,55,62,67,73,79,85);
score (0,1) () (0,1) () () () ()! items(10-18,57,63,68,74,82,87);
score (0,1) () () (0,1) () () ()! items(19-27,56,61,70,75,80,88);
score (0,1) () () () (0,1) () ()! items(28-36,58,64,69,77,81,86);
score (0,1) () () () () (0,1) ()! items(37-45,59,65,71,76,83,89);
score (0,1) () () () () () (0,1)! items(46-54,60,66,72,78,84,90);
model item! rasch;
import init_parameters <<90.prm;
import init_reg_coefficients <<90.reg;
import init_covariance <<90.cov;
export parameters >>90.prm;
export reg_coefficients >>90.reg;
export covariance >>90.cov;
estimate! method=monte carlo,nodes=4000, stderr=quick,abilities=yes;
show! estimates=latent,tables=1:2:3:4:9>>90.shw;
itanal >> 90.itn;
kidmap ! cases=2314, estimate=eap, pagelength=80 >>kidmap.out;