We construct halo occupation distribution (HOD) models of high redshift ($z \gtrsim 7.5M_{*}>10^8~M_{\odot}/h$ using the BlueTides hydrodynamic simulation suite, with a particular emphasis on modelling the small scale / 1-halo clustering (). Similar to low redshift studies, we find that the central and satellite mean HODs ( and ) can be modeled by a smoothed step function and a power law respectively. The number density of satellite galaxies is however significantly suppressed compared to low redshift (satellite fractions drop from at to $\lesssim 10 %z=7.5\left<N_{}\right> < 13 \times 10^{11} M_{\odot}/h$ (a rare halo at these redshifts). For the radial number density profiles, satellites with in halos with are consistent with NFW (with concentrations ). Within halos of mass satellites exhibit a power law profile with slope -3. Because these halos dominate the small scale clustering, the resulting 1-halo term is steeper than predicted using standard NFW profiles. Using this power-law profile for satellites, we can successfully reproduce the small-scale clustering exhibited by BlueTides galaxies using HOD modelling. We predict the highest probability of detecting satellites at is around centrals of (with a few ). This should be achievable with the James Webb Space Telescope (JWST).

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