EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuning

Installation

cd EffiCoder
pip install -r requirements.txt
cd LLaMA-Factory
pip install -e ".[torch,metrics]"

We have provided the EffiCoder dataset in EffiCoder/LLaMA-Factory/data/efficoder.json, so we can directly use SFT and other methods to finetune LLMs.

cd EffiCoder/LLaMA-Factory
bash run.sh

cd EffiCoder/scripts
bash run.sh

cd EffiCoder/src
python code_efficiency_calculator.py
python calculate_memory_usage.py

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
LLaMA-Factory		LLaMA-Factory
datasets		datasets
scripts		scripts
src		src
.DS_Store		.DS_Store
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
requirements.txt		requirements.txt