A high-scoring LocalLLaMA thread surfaced Sarvam AI's release of two Apache 2.0 reasoning models, Sarvam 30B and Sarvam 105B. The company says both were trained from scratch in India, use Mixture-of-Experts designs, and target reasoning, coding, agentic workflows, and Indian-language performance.
At the India AI Summit on February 17, Cohere released Tiny Aya, a family of 3.35B open-weight multilingual models supporting 70+ languages that run offline on standard laptops, targeting global language accessibility.
A high-signal Hacker News discussion points to research arguing that LLM guardrails can behave very differently across languages, with reported score shifts of 36-53% when only policy language changes.