Google has released CodeGemma, a large model of code for assisted programming. CodeGemma is based on Gemma, a lightweight open-source model released by Google in February this year, and has released CodeGemma 2B and CodeGemma 7B (both pre-trained and instruction fine-tuning) for two versions of Gemma with different parameter sizes, Gemma 2B and Gemma 7B.
So CodeGemma has 3 model variants:
- 7B pre-trained variant designed to complete code and generate code from code prefixes and/or suffixes
- 7 billion instruction fine-tuning variants for natural language-to-code chat and instruction following
- Advanced 2B pre-training variants with up to 2x faster code completion
CodeGemma can perform a variety of coding tasks, such as filling in intermediate code completion, code generation, natural language understanding, mathematical reasoning, and instruction following.
CodeGemma offers several advantages:
- Intelligent code completion and generation: Whether you're working on-premises or using Google Cloud resources, you can fill in entire lines, functions, and even generate entire blocks of code.
- Greater accuracy: CodeGemma models are trained on 500 billion words (mostly English) in web documents, math, and code, resulting in code that is not only syntactically correct, but also semantically more meaningful, reducing errors and debugging time.
- Multilingual level: Python, JavaScript, Java, Kotlin, C++, C#, Rust, Go, and other languages are supported.
- Streamline workflows: Integrating CodeGemma models into your development environment reduces the effort of writing boilerplate code and allows you to focus on interesting and distinctive code faster.
CodeGemma model weights can be downloaded in HuggingFace:
https://huggingface.co/collections/google/codegemma-release-66152ac7b683e2667abdee11
CodeGemma 论文:
https://storage.googleapis.com/deepmind-media/gemma/codegemma_report.pdf
Source | Artificial intelligence and big data technology
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