Having skimmed the GitHub readme and medium article, this announcement seems to be very focused on the number of parameters and engineering challenges scaling the model, but it does not contain any details about the model, training (learning rate schedules, etc.), or data composition.
It is great that more models are getting released publicly, but I would not get excited about it before some evaluations have been published. Having a lot of parameters should not be a goal in and of itself. For all we know this model is not well trained and worse than Eleuther AI's 20B parameter model, while also being inconveniently large.