Small Language Models with Hugging Face transformers Library + smolLM3

Hugging Face's SmolLM3, a 3-billion-parameter language model trained on 11.2 trillion tokens, offers competitive performance with large models while running efficiently on consumer GPUs. It supports multilingual tasks, a 128k context window, and native tool calling, making it suitable for focused pipelines like customer support ticket classification and response generation.