Wald 26B A4B is a mixture-of-experts style model from the Gemma family, activating 4 billion parameters out of 26 billion total. This architecture means it can punch above its weight in terms of quality while keeping inference costs closer to a smaller model. It handles text-in, text-out tasks with the efficiency trade-offs typical of sparse activation designs.