SEA-LION ships open models for Southeast Asia

AI Singapore and NVIDIA released open-weight Nemotron-SEA-LION-v4.8 models, with Burmese SEA-HELM scores rising 6.3x, from 4.98 to 31.35, at the 120B scale, according to AI Singapore’s release. The suite pairs 30B-A3B and 120B-A12B models, activates 3B and 12B parameters respectively, covers 10 Southeast Asian languages, and ships quantized variants for constrained deployments. Builders serving regional-language workloads should file this as evidence that local data plus sparse MoE can improve quality without activating a full 120B model; test your own prompts before treating the partner-reported benchmark as production evidence, as the archive’s sovereign-AI cost analysis argues.