Organization
Model Description
Ring-mini-2.0 is a Mixture-of-Experts (MoE) model oriented toward high-throughput inference and extensively optimized on the Ling 2.0 architecture. It uses 16B total parameters with approximately 1.4B activated per token and is reported to deliver comprehensive reasoning performance comparable to sub-10B dense LLMs. The model shows strong results on logical reasoning, code generation, and mathematical tasks, supports 128K context windows, and reports generation speeds of 300+ tokens per second.
