  This paper presents Safurai-001, a new Large Language Model (LLM) with
significant potential in the domain of coding assistance. Driven by recent
advancements in coding LLMs, Safurai-001 competes in performance with the
latest models like WizardCoder [Xu et al., 2023], PanguCoder [Shen et al.,
2023] and Phi-1 [Gunasekar et al., 2023] but aims to deliver a more
conversational interaction. By capitalizing on the progress in data engineering
(including latest techniques of data transformation and prompt engineering) and
instruction tuning, this new model promises to stand toe-to-toe with recent
closed and open source developments. Recognizing the need for an efficacious
evaluation metric for coding LLMs, this paper also introduces GPT4-based
MultiParameters, an evaluation benchmark that harnesses varied parameters to
present a comprehensive insight into the models functioning and performance.
Our assessment shows that Safurai-001 can outperform GPT-3.5 by 1.58% and
WizardCoder by 18.78% in the Code Readability parameter and more.
