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CodeGemma: Open Code Models Based on Gemma

17 June 2024
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
T. Warkentin
Ale Jakse Hartman
Bin Ni
Kathy Korevec
Kelly Schaefer
Scott Huffman
    VLM
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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.

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