BigCode

StarCoder2 7B

Larger code model with better completions.

7B parametersstarcoderbigcode-openrail-m16K context4.66GB - 7.61GB VRAM

About This Model

StarCoder2 7B by BigCode is a robust code generation model designed to assist developers with writing high-quality code across various programming languages. With 7 billion parameters, it excels in generating coherent and contextually relevant code snippets, making it particularly useful for tasks such as code completion, bug fixing, and even generating entire functions or classes based on natural language prompts. The model's impressive context length of 16,384 tokens allows it to maintain a deep understanding of the codebase, which is crucial for more complex projects.

Compared to other models in its size class, StarCoder2 7B punches well above its weight. It offers a good balance between performance and efficiency, requiring only 4.7 to 7.6 GB of VRAM, which makes it accessible for deployment on a wide range of hardware, including consumer-grade GPUs. This efficiency, combined with its strong performance in code generation, makes it a compelling choice for developers looking to enhance their productivity without the need for high-end hardware. Ideal users include software engineers, data scientists, and hobbyists who want to streamline their coding process and improve code quality. Realistic hardware for running this model includes modern laptops and desktops with at least 8 GB of RAM and a GPU with the specified VRAM range.

Check Your Hardware

See which quantizations of StarCoder2 7B your hardware can run.

Quantization Options

QuantizationBitsFile SizeVRAM NeededRAM NeededQuality
Q4_K_M4.54.155 GB4.66 GB5.16 GB
85%
Q8_087.105 GB7.61 GB8.11 GB
98%

See It In Action

Real model outputs generated via RunThisModel.com — watch responses stream in real time.

Llama 3.3 70B responding...

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 StarCoder2 7B?

StarCoder2 7B requires 4.66GB VRAM minimum with Q4_K_M quantization. For full precision, you need 7.61GB VRAM.

What is the best quantization for StarCoder2 7B?

Q4_K_M offers the best balance of quality and VRAM usage. Q8_0 is near-lossless if you have enough VRAM.