Show HN: Sweep, Open-weights 1.5B model for next-edit autocomplete

A 1.5B parameter model for next-edit autocomplete, quantized to Q8_0 GGUF format.

Model Description

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.

Usage

Download run_model.py and the model file, then:

uv pip install llama-cpp-python huggingface_hub
python run_model.py

Model Details

• Format: GGUF (Q8_0 quantization)
• Parameters: 1.5B
• Context Length: 8192 tokens
• Base Model: Qwen2.5-Coder

Example

The model uses a specific prompt format with file context, recent diffs, and current state to predict the next edit. See run_model.py for a complete example.

Links

• Blog Post - Technical details and benchmarks
• JetBrains Plugin - Sweep AI JetBrains Plugin

License

Apache 2.0