CodeGemma 7B
Google's instruction-tuned code model. Strong code generation and understanding.
About This Model
CodeGemma 7B is a robust code generation model developed by Google, designed to assist developers in generating high-quality code snippets and completing complex coding tasks. With 8.5 billion parameters, this model offers a balance between performance and resource requirements, making it a versatile choice for both professional and hobbyist developers. It excels in generating contextually relevant and syntactically correct code across multiple programming languages, thanks to its impressive context length of 8192 tokens. This allows the model to maintain a broader understanding of the codebase, which is particularly useful for larger projects or when working with intricate code structures.
In its size class, CodeGemma 7B punches well above its weight, offering performance that rivals larger models while being more efficient in terms of memory usage and computational requirements. The available quantizations, Q4_K_M and Q8_0, further enhance its efficiency, making it suitable for deployment on a wide range of hardware, including systems with 5.5 to 8.9 GB of VRAM. This makes it an excellent choice for developers who need powerful code generation capabilities but may be limited by their hardware resources. Whether you're a seasoned developer looking to speed up your workflow or a beginner seeking guidance, CodeGemma 7B is a solid choice that delivers reliable and efficient code generation.
Check Your Hardware
See which quantizations of CodeGemma 7B your hardware can run.
Quantization Options
| Quantization | Bits | File Size | VRAM Needed | RAM Needed | Quality |
|---|---|---|---|---|---|
| Q4_K_M | 4.5 | 4.964 GB | 5.46 GB | 5.96 GB | 85% |
| Q8_0 | 8 | 8.454 GB | 8.95 GB | 9.45 GB | 98% |
See It In Action
Real model outputs generated via RunThisModel.com — watch responses stream in real time.
Outputs generated by real AI models via RunThisModel.com. Generation speed shown is from cloud inference. Local speeds vary by hardware — check your device.
Frequently Asked Questions
How much VRAM do I need to run CodeGemma 7B?
CodeGemma 7B requires 5.46GB VRAM minimum with Q4_K_M quantization. For full precision, you need 8.95GB VRAM.
What is the best quantization for CodeGemma 7B?
Q4_K_M offers the best balance of quality and VRAM usage. Q8_0 is near-lossless if you have enough VRAM.