Open-Source 1.5B Parameter Next-Edit Code Autocomplete Model: Performance, Design, and Practice For programmers, code autocomplete tools have long been an indispensable part of daily development. An efficient and accurate autocomplete model can significantly reduce repetitive coding work and boost productivity. Conversely, slow, low-accuracy tools or those requiring code to be uploaded to the cloud not only disrupt development workflows but also pose potential data privacy risks. Today, we introduce Sweep Next-Edit—an open-source 1.5B parameter code autocomplete model designed to address these pain points. It runs locally on laptops in under 500ms and outperforms models over 4x its size on core …