internlm/SWE-Fixer-Editor-72B
TEXT GENERATIONConcurrency Cost:4Model Size:72.7BQuant:FP8Ctx Length:32kPublished:Jan 9, 2025License:mitArchitecture:Transformer0.0K Open Weights Cold
The internlm/SWE-Fixer-Editor-72B model, developed by InternLM, is a 72.7 billion parameter language model fine-tuned from Qwen2.5-7B. It is specifically designed for resolving real-world GitHub issues through a retrieve-then-edit pipeline. This model excels at code editing tasks, making it highly effective for automated software engineering workflows.
Loading preview...
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.