  We study a generalization of the model introduced by Kistler and Schmidt in
$2015$, that interpolates between the random energy model (REM) and the
branching random walk (BRW). More precisely, we are interested in the
asymptotic behaviour of the extremal process associated to this model. Kistler
and Schmidt show that the extremal process of the $GREM(N^{\alpha})$,
$\alpha\in{[0,1)}$ converges weakly to a simple Poisson point process. This
contrasts with the extremal process of the branching random walk $(\alpha=1)$
which was shown to converge toward a decorate Poisson point process by Madaule.
In this paper we propose a generalized model of the $GREM(N^{\alpha})$, that
has the structure of a tree with $k_n$ levels, where $(k_n\leq n)$ is a
non-decreasing sequence of positive integers. We show that as long as
$\frac{k_n}{n}\to_{n\to\infty}0$, the decoration disappears and we have
convergence to a simple Poisson point process. We study a generalized case,
where the position of the particles are not necessarily Gaussian variables and
the reproduction law is not necessarily binary.
