# Code Correction

Qwen2.5-Coder-7B is a large language model based on Qwen2.5, focusing on code generation, reasoning, and correction. It has been trained on 5.5 trillion tokens, including source code, textual code grounding, synthetic data, etc., representing the latest advancements in open-source code language models. This model not only matches GPT-4o in programming capabilities but also retains advantages in mathematics and general skills, supporting long contexts of up to 128K tokens.

iFlyCode, an intelligent programming assistant based on iFLYTEK StarFire Cognitive Large Model, is an intelligent programming tool. It can intelligently generate code, explain code, correct code, conduct unit testing, and provide intelligent Q&A functions. Through iFlyCode, users can program more easily and creatively. iFlyCode supports the intelligent generation of single-line or function-level code suggestions, automatically generates code based on comments and function names, and fills in code based on method names and context. It can also explain code by selecting paragraphs, detailing classes and functions and their roles, support line-by-line code commenting, learn massive paradigms, and quickly and accurately interpret. In addition, iFlyCode can pinpoint spelling, grammar, and logical errors and provide targeted correction suggestions, support comparisons between new and old code, and modify with one click. It can also quickly generate unit test cases, supports various mainstream unit testing frameworks, and intelligently generates unit test data. Finally, iFlyCode also supports selecting code for questions and dialog-based free Q&A, providing professional answers to code-related questions without switching the IDE interface. Apply for iFlyCode now and embark on your intelligent programming journey!