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wizardcoder_instruct_generator's Introduction

WizardCoder_Instruct_Generator

  • You need to write the completeion function by openAI api, which recieves the prompt and output the GPT4 response.
  • The final output is saved in new_code_demo.json.
  • I give a demo in new_code_demo.json, you need to rerun 3-4 times of generate_evloveinstruct.py to generate the instructs, fine-tune your model and find the best performance on Human-eval, which is the same as the paper "Wizarder-Coder".

wizardcoder_instruct_generator's People

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Jeff Carpenter avatar avatar Deema Nuhait avatar Daxiong avatar avatar Ethan Chern avatar thehouseholdplotofshz avatar Ensheng Shi (石恩升) avatar Xinzhou Jin avatar Qi Zhang avatar avatar Anmol Agarwal avatar sssssqqqqkkl avatar Guang Yang avatar ncwr avatar ZHU QIHAO avatar Aadarsh Sahoo avatar avatar avatar Chensen Huang avatar

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wizardcoder_instruct_generator's Issues

Did WizardCoder generate data from GPT-4 or GPT-3.5?

Thanks for this repo! I am also reading the paper recently, but I did not notice which LLM the WizardCoder used to generated their Evol-Instruct data. According to your implementation, gpt4_azure is used, is it the same with WizardCoder (considering that Microsoft insiders could use the API for free since early this year), or you just guess they used GPT-4?

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