Summary of Codegemma: Open Code Models Based on Gemma, by Codegemma Team: Heri Zhao et al.

CodeGemma: Open Code Models Based on Gemma

by CodeGemma Team, Heri Zhao, Jeffrey Hui, Joshua Howland, Nam Nguyen, Siqi Zuo, Andrea Hu, Christopher A. Choquette-Choo, Jingyue Shen, Joe Kelley, Kshitij Bansal, Luke Vilnis, Mateo Wirth, Paul Michel, Peter Choy, Pratik Joshi, Ravin Kumar, Sarmad Hashmi, Shubham Agrawal, Zhitao Gong, Jane Fine, Tris Warkentin, Ale Jakse Hartman, Bin Ni, Kathy Korevec, Kelly Schaefer, Scott Huffman

First submitted to arxiv on: 17 Jun 2024

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Summary difficulty	Written by	Summary
High	Paper authors	High Difficulty Summary Read the original abstract here
Medium	GrooveSquid.com (original content)	Medium Difficulty Summary CodeGemma is a collection of specialized open code models that can perform various code and natural language generation tasks. The paper introduces three model variants: CodeGemma 7B PT, which excels in mathematical reasoning and has resilient natural language understanding; CodeGemma 7B IT, which matches the capabilities of other open models; and CodeGemma 2B, a state-of-the-art code completion model for latency-sensitive settings. These models are built on top of Gemma and have been trained using various techniques.
Low	GrooveSquid.com (original content)	Low Difficulty Summary CodeGemma is a new tool that can help with writing code and understanding natural language. It’s like a super-smart assistant that can do lots of tasks, like math problems and writing code. There are three versions: one that’s really good at understanding language, another that’s great at math, and a third that’s fast and good at filling in missing code.