SmolLM‑3 shows 3B model can outperform 70B on targeted tasks, cutting costs
The tutorial walks you through deploying Hugging Face’s SmolLM‑3, a 3 billion‑parameter model that matches or beats a 70 billion‑parameter counterpart on narrow, multilingual support‑ticket tasks while running on a single consumer GPU. By fine‑tuning on domain data you slash inference cost to pennies per million tokens and keep latency in seconds.