flytech-python

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ranimeshehata / Code-Generation-and-Guarding

This repository implements a three-phase experimental study on language model fine-tuning for Python code generation, comparing Full Fine-Tuning (FFT), Supervised Fine-Tuning with Q-LoRA, and Direct Preference Optimization (DPO) for behavioral alignment.

tokenizer prompt generation sft dpo wandb roberta-model qwen full-fine-tuning q-lora flytech-python

Updated Dec 29, 2025
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