# Code Generation Fine-tuning

A 7B-parameter LLaMa model fine-tuned on the Code Alpaca dataset, specializing in code generation tasks

These two datasets are primarily used for fine-tuning code generation and code feedback models. CodeAlpaca-20k contains 20k code generation instructions, while CodeFeedback-Filtered-Instruction contains filtered code feedback instructions.

Enhances the reasoning generalization capabilities of large language models through reinforcement fine-tuning, based on Codellama fine-tuning, suitable for code generation and comprehension tasks.