Sweep Next-Edit: 1.5B Parameter AI Model for Code Edit Prediction
By
williamzeng0
4mo ago· 2 min readen
80/100
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Score80Typepress releaseSentimentneutral
Summary
Sweep Next-Edit is a 1.5 billion parameter AI model designed for predicting code edits before they're made. The model runs locally on laptops in under 500ms using speculative decoding and reportedly outperforms models four times its size on next-edit benchmarks. It's available in GGUF format with Q8_0 quantization, has an 8192 token context length, and is based on the Qw model architecture. The article provides usage instructions and technical specifications for developers interested in implementing this code autocomplete tool.
Key quotes
· 5 pulledSweep 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.
Format: GGUF (Q8_0 quantization)
Parameters: 1.5B
Context Length: 8192 tokens
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