How to get the Standardise estimates, SE, Confidence intervals with upper and lower limits for the mixed effect models in Lmer?

Question

I'm running a multi-level linear mixed effects model with a four-way interaction of fixed effects and two within-subject random effects.

AUG25M1 <- lmer(RTNormalized~ Block *SeqType* Group *AgeRange + (Block+SeqType|ParticipantID), control=lmerControl(calc.derivs = FALSE,optCtrl=list(maxfun=100000)), REML = FALSE, data = mdf)

I'm interested in reporting the interaction effects of the model with model estimates. For example, (β = xx , SE = xx , t = xx , 95% CI [xxx-xxx] and p = )

Because of the complexity of the model, I'm not able to get the vcov matrix, the correlation values, or the CI values by using the confint() function.

Error correlation matrix not shown by default, as p = 24 > 12.
Use print(x, correlation=TRUE)  or
         vcov(x)   if you need it 

and the confint() function is taking too long to process and always ends up hanging or making r-studio unresponsive.

I appreciate any suggestions on trying alternative ways to obtain the above model estimates required while reporting in the scientific journal.

Many thanks!