SmolLM

Nowadays, small language models are becoming more popular, and many manufacturers have begun to launch "small models" suitable for lightweight devices such as mobile phones. This week, Hugging Face announced the "SmolLM" small language model family, which includes 135 million, 360 million and 1.7 billion parameter models. According to reports, these models are said to be trained with carefully planned high-quality training data sets and are said to be quite powerful in Python programming performance. The team pointed out that they focused on optimizing the amount of RAM required by the model, "even on an iPhone with 6GB RAM...

Recently, Hugging Face launched a new AI tool - SmolLM. This is a series of high-performance small language models with parameters ranging from 135M to 1.7B, designed specifically for various devices and applications. Imagine that these small models can run efficiently on mobile phones and laptops, which is really cool! The characteristics of SmolLM models are small and powerful. They can still perform well with less computing resources and help users protect privacy. Hugging Face uses a tool called SmolLM-Corp when training these models...