Google has released the LLM AI model for coding under the name CodeGemma, focusing on assisting in code writing. The model comes in three versions:
CodeGemma 2B: Specializing in code completion at 100%
CodeGemma 7B: Code completion at 80% and general information at 20%
CodeGemma 7B Instruct: Enhanced from the 7B model for command-based chat interaction
The training approach for CodeGemma utilizes the fill-in-the-middle (FIM) method. When measuring the ability to fill in code lines accurately, CodeGemma 2B performs at 78.41%, surpassing similar code-writing models while requiring significantly less runtime. On average, code completion takes less than 0.5 seconds (totaling 543 seconds from 1033 prompts) on a g2-standard-4 machine, making it practical to use.
While CodeGemma excels in accuracy, it also competes favorably with high-performance models like DeepSeek Coder in terms of speed.
Source: Google AI for Developers
TLDR: Google introduced the LLM AI model CodeGemma for coding, offering specialized code completion with efficient runtime and high accuracy compared to similar models like DeepSeek Coder.
Leave a Comment