When comparing two nested models using the Likelihood Ratio Test, if the log-likelihood of the full model is $\ell_1$ and the reduced model is $\ell_0$, the statistic $\lambda = -2(\ell_0 - \ell_1)$ follows a $\chi^2$ distribution. What determines the degrees of freedom?