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CodeGemma

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description CodeGemma Overview

CodeGemma is a small, self-hosted language model developed by Google. It’s notable for its suitability for local deployment, enabling developers to integrate generative AI directly within their IDEs such as JetBrains. This allows users—particularly those working with Python and seeking a lightweight solution for code completion or generation—to utilize Gemma's capabilities without relying on cloud services.

help CodeGemma FAQ

Which CodeGemma model should I use for coding?

CodeGemma includes a 2B pretrained model for fast completion and 7B models for broader code generation or instruction following. The 7B instruction-tuned version is the better match for natural-language-to-code chat, while the pretrained versions target completion. [Google CodeGemma documentation](https://ai.google.dev/gemma/docs/codegemma)

Can CodeGemma run locally instead of sending code to an online service?

Yes, CodeGemma is distributed as a downloadable model family intended for local and cloud deployment. Running it locally can keep source code on your machine, but the Gemma terms still apply to how you use and redistribute the model. [Google CodeGemma documentation](https://ai.google.dev/gemma/docs/codegemma), [Gemma terms](https://ai.google.dev/gemma/terms)

Is CodeGemma meant for autocomplete or chatbot conversations?

The pretrained CodeGemma models support code completion, including fill-in-the-middle completion between a prefix and suffix. The instruction-tuned 7B model is designed for natural-language instructions and code questions, so it is closer to a coding chatbot. [Google DeepMind CodeGemma](https://deepmind.google/models/gemma/codegemma/)

Which programming languages can CodeGemma handle?

Google lists languages including Python, JavaScript, Java, Kotlin, C++, C#, Rust, and Go among the supported coding languages. The model was trained on about 500 billion tokens, but performance can still vary by language and task. [Google CodeGemma documentation](https://ai.google.dev/gemma/docs/codegemma)

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