When does the limit of moments of multivariate distributions determine the limit distribution?

Hello I'm sorry if this question is trivial but I haven't been able to find an answer. I'm trying to show that a sequence of distributions on $\mathbb{R}^n$ converges to the normal distribution by showing that the moments of the distributions converge to those of the normal distribution. Is this sufficient under appropriate assumptions? Thanks

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