Researchers have introduced SmolLM3, a multilingual language model that can handle long contexts. Unlike previous models, it is designed to be smaller in size while maintaining performance. This is achieved through a combination of techniques, including knowledge distillation and pruning. The model has been fine-tuned on multiple languages and datasets, showing competitive results compared to larger models. --- Why it matters: SmolLM3 matters because its compact size makes it more practical for deployment in resource-constrained environments or edge devices, where large models are often too demanding. Source: https://huggingface.co/blog/smollm3