well if you have controls (e.g. gender, age) you could drop them and then talk about their possible effects later.
You also have IV1 IV2 and IV2. My understanding is that you want to see whether the relationship between each IV is moderated by 2 moderators.
So rather than chucking IV1 in and seeing if M1 and M2 moderate it *whilst controlling for IV2 and IV3*, i'd drop the latter bit, and just run each IV moderated separately soo..
Model 1 = IV1, M1, M2, DV1
Model 2 = IV1, M1, M2, DV2
Model 3 = IV2, M1, M2, DV1
Model 4 = IV2, M1, M2, DV2
Model 5 = IV3, M1, M2, DV1
Model 6 = IV3, M1, M2, DV2
But I don't know what the variables are so that might be a bit rubbish if your varibales are all supposed to interlink.