Motif 3 Beta

A large-scale sparse Mixture-of-Experts language model built from the ground up by South Korea's Motif Technologies with a fully in-house, proprietary design (Grouped Differential Latent Attention, per-expert Grouped PolyNorm, modified mHC). Has roughly 314B total parameters with about 13B active per token (384 routed experts, top-8, plus one shared expert) and a native 256K context window (262,144 tokens). Multilingual and general-purpose, with reasoning and tool-calling support in vLLM serving. This is an intermediate preview/beta checkpoint, released with open weights (bfloat16) for non-commercial research use ahead of the final release.