Our input to a $4$ head multihead self attention are a sequence of terms with $128-$dimensional embedding. For computing the self$-$attention, the dimension for the keys and queries for all the heads are $10.$ What are the shapes for the learnable weight matrices

for the first head in the multihead attention layer?