Google CodeGemma

What is Google CodeGemma?

Google CodeGemma is a suite of lightweight models built specifically for coding tasks. It handles code completion, code block generation, natural language understanding, math problems, and instruction following.

CodeGemma comes in three variants:

• 7B pretrained model — suited for code completion and generating new code snippets
• 7B instruction-tuned model — translates plain English requests into code
• 2B pretrained model — fast, ideal for quick code completion

The models are designed to accurately complete lines, functions, and code blocks, and they support popular languages including Python, JavaScript, and Java. Integrating CodeGemma into a development workflow can reduce repetitive coding and free up time to focus on more important work.

Who created Google CodeGemma?

Google CodeGemma was developed by the team at Google AI for Developers. The models are trained on large amounts of data, which supports their ability to produce accurate and relevant code.

Who is Google CodeGemma for?

CodeGemma is useful for anyone working with code, including:

• Software developers
• Data scientists
• Web and mobile app developers
• DevOps engineers
• Machine learning engineers
• Game developers
• Technical writers
• Systems analysts
• Database administrators

How to use Google CodeGemma?

1. Choose the right model: Pick the variant that fits your task — the 7B pretrained model for code completion and generation, the 7B instruction-tuned model for converting natural language into code, or the 2B pretrained model for fast completion.
2. Use its capabilities: The models offer code completion and generation across multiple programming languages, with accuracy supported by their training data.
3. Integrate it into your workflow: Adding CodeGemma to your development environment helps streamline your work and reduce repetitive code.
4. Consult the official documentation: For implementation details, performance evaluations, usage guidelines, and limitations, see the official CodeGemma model card at ai.google.dev.