Year: 2024
Type: preprint
Abstract: This paper introduces CodeGemma, a collection of specialized open code models built on top of Gemma, capable of a variety of code and natural language generation tasks. We release three model variants. CodeGemma 7B pretrained (PT) and instruction-tuned (IT) variants have remarkably resilient natural language understanding, excel in mathematical reasoning, and match code capabilities of other open models. CodeGemma 2B is a state-of-the-art code completion model designed for fast code infilling and open-ended generation in latency-sensitive settings.
Source: arXiv (Cornell University)
Authors: CodeGemma Team, Zhao, Heri, Hui, Jeffrey, Howland, Joshua, Nguyen, Nam, Zuo, Siqi, Hu, Andrea, Choquette-Choo, Christopher A., Shen, Jingyue, Kelley, Joe, Bansal, Kshitij, Vilnis, Luke, Wirth, Mateo, Michel, Paul, Choy, Peter, Joshi, Pratik, Kumar, Ravin, Hashmi, Sarmad, Agrawal, Shubham, Gong, Zhitao, Fine, Jane, Warkentin, Tris, Hartman, Ale Jakse, Ni, Bin, Korevec, Kathy, Schaefer, Kelly, Huffman, Scott
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4399795128