Codegemma-7B-it

CodeGemma is a collection of lightweight open code models built on top of Gemma. CodeGemma models are text-to-text and text-to-code decoder-only models and are available as a 7 billion pre-trained variant that specializes in code completion and code generation tasks, a 7 billion parameter instruction-tuned variant for code chat and instruction following and a 2 billion parameter pre-trained variant for fast code completion.

Codegemma-7B-it on Qubrid AI Model Studio

We have simplified how you can use or fine-tune Codegemma-7B-it on our AI Model Studio running on Qubrid’s AI Cloud. Powered by NVIDIA GPUs, we offer you performance with simplicity so you can build your Codegemma-7B-it applications quickly without the need to setup or install anything. Login to try for free.

Learn how to Fine-tune AI Models on Qubrid AI Platform

AI Model Author: Google

This model is not owned or developed by Qubrid AI. This model has been developed and built to a third-party’s requirements for this application and use case.

SKU: CODEGEMMA-7B-IT Category:

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CodeGemma is a collection of lightweight open code models built on top of Gemma. CodeGemma models are text-to-text and text-to-code decoder-only models and are available as a 7 billion pre-trained variant that specializes in code completion and code generation tasks, a 7 billion parameter instruction-tuned variant for code chat and instruction following and a 2 billion parameter pre-trained variant for fast code completion.

Codegemma-7B-it on Qubrid AI Model Studio

We have simplified how you can use or fine-tune Codegemma-7B-it on our AI Model Studio running on Qubrid’s AI Cloud. Powered by NVIDIA GPUs, we offer you performance with simplicity so you can build your Codegemma-7B-it applications quickly without the need to setup or install anything. Login to try for free.

Learn how to Fine-tune AI Models on Qubrid AI Platform

AI Model Author: Google

This model is not owned or developed by Qubrid AI. This model has been developed and built to a third-party’s requirements for this application and use case.

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Code Generation

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