#Ant Group

'Ling 2.0 is a reasoning-first sparse MoE family from Ant Group that keeps per-token compute low with a 1/32 activation recipe while scaling from 16B to 1T parameters.'

LLaDA-V introduces a purely diffusion-based approach to multimodal large language modeling, achieving impressive results in visual instruction tuning and reasoning across diverse tasks.