Ring-1T
InclusionAI · 2025-10-14 · 999.7B parameters
Ring-1T is InclusionAI's (Ant Group's) open-weight trillion-scale thinking MoE from the Ling 2.0 family, trained from Ling-1T-base via long-CoT supervised fine-tuning, reasoning RLVR, and general RLHF. InclusionAI reports 1T total parameters and approximately 50B activated per token; the official checkpoint has 80 layers, GQA, 256 routed experts with eight selected per token plus one shared expert, QK normalization, half (partial) RoPE, and a 64K native context that can be extended to the reported 128K via YaRN. It targets extended natural-language reasoning and was evaluated across mathematics, coding, logic, healthcare, writing, and agent benchmarks.