lightweight-model

Light-WAM is a lightweight world action model for efficient robot manipulation that uses a compact video backbone and downsampled latent space for future-video supervision, achieving high performance with low inference latency.

Tencent open-sourced Hy-MT2, a family of multilingual translation models in sizes 1.8B, 7B, and 30B-A3B (MoE), supporting 33 languages and achieving state-of-the-art results, with the lightweight 1.8B model outperforming mainstream commercial APIs from Microsoft and Doubao.