Two samples with sizes $n_1=980$ and $n_2=1125$ are being compared using an $F$ test for equality of variances. Is it appropriate to ignore the assumption of normality due to the large sample sizes?

Yes, because the $F$ test is robust for large samples.

No, because normality is still required for the $F$ test.

Yes, because the Central Limit Theorem applies to variances.

No, because the $F$ test is only valid for equal sample sizes.