Meta's tiny reasoning model punches above its weight
Meta just dropped MobileLLM-R1, a lightweight edge reasoning family spanning 140M to 950M parameters on Hugging Face. The 950M version delivers up to 5x higher accuracy on math benchmarks than larger open models while training on just 4.2T tokens. Why it matters: It proves sub-billion models can handle serious reasoning, though non-commercial licensing keeps it out of production for now.