metadata
license: other
license_name: deepseek
license_link: >-
https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-instruct/blob/main/LICENSE
task_categories:
- text-generation
language:
- en
tags:
- code
LeetCode Contest Benchmark
A new benchmark for evaluating Code LLMs proposed by DeepSeek-Coder, which consists of the latest algorithm problems of different difficulties.
Usage
git clone https://github.com/deepseek-ai/DeepSeek-Coder.git
cd Evaluation/LeetCode
# Set the model or path here
MODEL="deepseek-ai/deepseek-coder-7b-instruct"
python vllm_inference.py --model_name_or_path $MODEL --saved_path output/20240121-Jul.deepseek-coder-7b-instruct.jsonl
python evaluate_leetcode.py --generation_path output/20240121-Jul.deepseek-coder-7b-instruct.jsonl --result_path output/20240121-Jul.deepseek-coder-7b-instruct.result.jsonl
Citation
@article{guo2024deepseekcoder,
title = {DeepSeek-Coder: When the Large Language Model Meets Programming - The Rise of Code Intelligence},
author = {Daya Guo and Qihao Zhu and Dejian Yang and Zhenda Xie and Kai Dong and Wentao Zhang and Guanting Chen and Xiao Bi and Y. Wu and Y. K. Li and Fuli Luo and Yingfei Xiong and Wenfeng Liang},
year = {2024},
journal = {arXiv preprint arXiv: 2401.14196}
}