Mr-Vicky-01/Gemma-2B-Finetuined-pythonCode

Mr-Vicky-01/Gemma-2B-Finetuined-pythonCode is a 2.5 billion parameter deep learning model based on the Gemma-2B architecture, fine-tuned specifically for Python programming tasks. This model excels at understanding Python code and providing assistance, including code completion, syntax correction, and suggestions for code quality improvement. With a context length of 8192 tokens, it is designed to enhance developer efficiency and maintainability in Python environments. Its primary strength lies in its specialized focus on Python code generation and analysis.