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arXiv · 2311.03243

Safurai-Csharp: Harnessing Synthetic Data to improve language-specific Code LLM

Davide Cifarelli·Leonardo Boiardi·Alessandro Puppo·Leon Jovanovic
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Abstract

This paper introduces Safurai-Csharp, an open-source model designed to specialize in the generation, completion, and debugging of C# code. Safurai-Csharp is built upon the novel CodeLlama 34B model and leverages the EvolInstruct technique, creating a refined and expanded dataset for its fine-tuning process. The results of its performance, a notable score of 56.33% on the Manual MultiPL-E benchmark (Zero-Shot, Pass@1), signal its high capacity to streamline developers' workflows and aid code learning. It shows promise in setting new stakes in the landscape of open-source C# LLMs and hopes to inspire more inclusive and wide-ranging development in the field of language-specific LLMs.

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Davide Cifarelli, Leonardo Boiardi, Alessandro Puppo, Leon Jovanovic. 2023-11-06. Safurai-Csharp: Harnessing Synthetic Data to improve language-specific Code LLM. https://arxiv.org/abs/2311.03243

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