A 1.5B parameter model for next-edit autocomplete, quantized to 8bit MLX format. Sweep Next-Edit predicts your next code edit before you make it. It runs locally on your laptop in under 500ms (with speculative decoding) and outperforms models over 4x its size on next-edit benchmarks. More details here. — Format: MLX (8bit) — Parameters: 1.5B — Context Length: 8192 tokens — Base Model: Qwen2.5-Coder The model uses a specific prompt format with file context, recent diffs, and current state to predict the next edit. See runmodel.py` for a complete example. — Blog Post — Technical details and benchmarks — JetBrains Plugin — Sweep AI JetBrains Plugin — HN Thread — Discuss implementation for VSCode, Neovim & Emacs — Twitter Post — Ask us any other questions
Модальности:
Генерация текста
Области применения:
Генерация кода
Задача: Генерация текста
Автор: Chris-Kode
Теги: mlx, qwen2, code, autocomplete, next-edit, 8-bit
Лайков: 3 | Загрузок: 120
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.