Paper: <a href="https://arxiv.org/abs/2308.07124" rel="nofollow noreferrer">https://arxiv.org/abs/2308.07124</a><p>Highlights: This paper demonstrates the instruct fine-tuning code for Language Model Models (LLMs) using public Github commit data. The proposed method achieves the highest HumanEval pass@1 accuracy among permissive licensed LLM models.