WizardCoder: Empowering Code Large Language Models with Evol-Instruct
Code Large Language Models (Code LLMs), such as StarCoder, have demonstrated
exceptional performance in code-related tasks. However, most existing models
are solely pre-trained on extensive raw code data without instruction
fine-tuning. In this paper, we introduce WizardCoder, which empowers Code LLMs
with complex instruction fine-tuning, by adapting the Evol-Instruct method to
the domain of code. Through comprehensive experiments on four prominent code
generation benchmarks, namely HumanEval, HumanEval+, MBPP, and DS-1000, we
unveil the exceptional capabilities of our model. It surpasses all other
open-source Code LLMs by a substantial margin. Moreover, our model even
outperforms the largest closed LLMs, Anthropic's Claude and Google's Bard, on
HumanEval and HumanEval+. Our code, model weights, and data are public at
https://github.com/nlpxucan/WizardLM
648bc6c9afaac0d4cb882625
Ziyang Luo
admin_assigned
2023-06-16T13:00:11.858Z
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Ziyang Luo
user
Ziyang
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Can Xu
admin_assigned
2023-06-16T13:01:17.861Z
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WizardLM
user
nlpxucan
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Pu Zhao
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Qingfeng Sun
claimed_verified
2023-06-16T07:04:04.309Z
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WizardLM
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WizardLM
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Xiubo Geng
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Wenxiang Hu
claimed_verified
2023-06-16T17:38:43.282Z
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Wenxiang Hu
user
wenxcs
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Chongyang Tao
claimed_verified
2023-08-29T06:59:36.222Z
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Chongyang Tao
user
chongyang09
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Jing Ma
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Qingwei Lin
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Daxin Jiang
claimed_verified
2023-06-16T13:57:28.286Z
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Daxin Jiang
user
djiang3
WizardCoder: Empowering Code Large Language Models with Evol-Instruct
Code Large Language Models (Code LLMs), such as StarCoder, have demonstrated
exceptional performance in code-related tasks. However, most existing models
are solely pre-trained on extensive raw code data without instruction
fine-tuning. In this paper, we introduce WizardCoder, which empowers Code LLMs
with complex instruction fine-tuning, by adapting the Evol-Instruct method to
the domain of code. Through comprehensive experiments on four prominent code
generation benchmarks, namely HumanEval, HumanEval+, MBPP, and DS-1000, we
unveil the exceptional capabilities of our model. It surpasses all other
open-source Code LLMs by a substantial margin. Moreover, our model even
outperforms the largest closed LLMs, Anthropic's Claude and Google's Bard, on
HumanEval and HumanEval+. Our code, model weights, and data are public at
https://github.com/nlpxucan/WizardLM
WizardCoder, a Code LLM fine-tuned with complex instructions using Evol-Instruct, outperforms other open-source and closed LLMs on several code generation benchmarks.
Code LLMs StarCoder WizardCoder Evol-Instruct HumanEval HumanEval+ MBPP DS-1000