Narrow Transformer: StarCoder-Based Java-LM For Desktop
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | , , , , , , , , |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866909307778367488 |
|---|---|
| author | Rathinasamy, Kamalkumar J, Balaji A Kumar, Ankush Gayari, Gagan K, Harshini Mondal, Rajab Ali S, Sreenivasa Raghavan K Singh, Swayam Tarafdar, Mohammed Rafee |
| author_facet | Rathinasamy, Kamalkumar J, Balaji A Kumar, Ankush Gayari, Gagan K, Harshini Mondal, Rajab Ali S, Sreenivasa Raghavan K Singh, Swayam Tarafdar, Mohammed Rafee |
| contents | This paper presents NT-Java-1.1B, an open-source specialized code language model built on StarCoderBase-1.1B, designed for coding tasks in Java programming. NT-Java-1.1B achieves state-of-the-art performance, surpassing its base model and majority of other models of similar size on MultiPL-E Java code benchmark. While there have been studies on extending large, generic pre-trained models to improve proficiency in specific programming languages like Python, similar investigations on small code models for other programming languages are lacking. Large code models require specialized hardware like GPUs for inference, highlighting the need for research into building small code models that can be deployed on developer desktops. This paper addresses this research gap by focusing on the development of a small Java code model, NT-Java-1.1B, and its quantized versions, which performs comparably to open models around 1.1B on MultiPL-E Java code benchmarks, making them ideal for desktop deployment. This paper establishes the foundation for specialized models across languages and sizes for a family of NT Models. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_03941 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Narrow Transformer: StarCoder-Based Java-LM For Desktop Rathinasamy, Kamalkumar J, Balaji A Kumar, Ankush Gayari, Gagan K, Harshini Mondal, Rajab Ali S, Sreenivasa Raghavan K Singh, Swayam Tarafdar, Mohammed Rafee Software Engineering Artificial Intelligence Computation and Language I.2.7 This paper presents NT-Java-1.1B, an open-source specialized code language model built on StarCoderBase-1.1B, designed for coding tasks in Java programming. NT-Java-1.1B achieves state-of-the-art performance, surpassing its base model and majority of other models of similar size on MultiPL-E Java code benchmark. While there have been studies on extending large, generic pre-trained models to improve proficiency in specific programming languages like Python, similar investigations on small code models for other programming languages are lacking. Large code models require specialized hardware like GPUs for inference, highlighting the need for research into building small code models that can be deployed on developer desktops. This paper addresses this research gap by focusing on the development of a small Java code model, NT-Java-1.1B, and its quantized versions, which performs comparably to open models around 1.1B on MultiPL-E Java code benchmarks, making them ideal for desktop deployment. This paper establishes the foundation for specialized models across languages and sizes for a family of NT Models. |
| title | Narrow Transformer: StarCoder-Based Java-LM For Desktop |
| topic | Software Engineering Artificial Intelligence Computation and Language I.2.7 |
| url | https://arxiv.org/abs/2407.03941 |