SWE-Fixer-Editor-72B: GitHub Issue Resolution

SWE-Fixer-Editor-72B is a 72.7 billion parameter model developed by InternLM, fine-tuned from Qwen2.5-7B. It is part of the SWE-Fixer project, which focuses on training open-source large language models to effectively and efficiently address real-world GitHub issues.

Key Capabilities

• GitHub Issue Resolution: Designed to tackle and resolve issues found on GitHub.
• Retrieve-then-Edit Pipeline: Utilizes a two-component system comprising a code file retriever and a code editor to streamline the issue resolution process.
• Code Editing: Specialized in editing code to fix identified problems.

Good For

• Automated software engineering tasks.
• Developers looking to integrate LLMs into their GitHub workflow for issue fixing.
• Research and development in automated code repair and software maintenance.