sweepai/sweep-next-edit-v2-7B
sweepai/sweep-next-edit-v2-7B is a 7 billion parameter model fine-tuned from Qwen2.5-Coder-7B with a 32,768 token context length. It is specifically designed to predict the next code edit a developer will make, given the current file, recent diffs, and cursor position. The model excels at code completion and modification tasks by predicting new code blocks based on contextual information and developer intent. Its primary strength lies in enhancing developer workflows through intelligent code editing suggestions.
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Model Overview
sweepai/sweep-next-edit-v2-7B is a specialized 7 billion parameter language model, fine-tuned from Qwen2.5-Coder-7B. It is engineered to predict and generate the next code edit a developer is likely to make within a given file. The model leverages a substantial 32,768 token context length to understand the surrounding code, recent changes, and cursor position.
Key Capabilities
- Predictive Code Editing: Anticipates and generates the next code block a developer intends to write or modify.
- Context-Aware Generation: Utilizes current file contents, recent diffs, and cursor location for highly relevant suggestions.
- Cross-File Context: Incorporates retrieval chunks from related files to provide broader contextual understanding.
- Fine-tuned for Developer Workflows: Optimized through SFT, GRPO, and DPO on developer editing traces, making it highly effective for code modification tasks.
- Structured Prompting: Employs a specific prompt format with
<|file_sep|>and<|cursor|>markers to delineate file context, recent changes, and target edit areas.
Good For
- Intelligent Code Completion: Suggesting entire code blocks or modifications based on developer intent.
- Automated Refactoring Assistance: Aiding in structured code changes by predicting logical next steps.
- Enhancing IDE Features: Powering advanced code editing features within development environments.
- Understanding Developer Intent: Interpreting the likely next action of a developer based on their current editing context.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.