BigCode

StarCoder2 3B

Code completion model trained on The Stack v2. 600+ languages.

3B parametersstarcoderbigcode-openrail-m16K context2.26GB - 3.5GB VRAM

About This Model

StarCoder2 3B by BigCode is a robust code generation model designed for local deployment, offering a balance between performance and resource requirements. With 3 billion parameters, this model excels at generating high-quality code snippets, completing code tasks, and providing context-aware suggestions. Its architecture supports a context length of 16,384 tokens, making it particularly adept at handling complex and lengthy coding projects. The model is licensed under the bigcode-openrail-m license, ensuring accessibility while maintaining ethical usage guidelines. StarCoder2 3B has gained significant popularity, with over 91,957 downloads and 216 likes, indicating its reliability and effectiveness in the developer community.

In its size class, StarCoder2 3B punches well above its weight. Despite having fewer parameters compared to larger models, it delivers impressive results in code generation tasks, often matching or exceeding the performance of more resource-intensive models. This efficiency makes it an excellent choice for developers and organizations looking to deploy a powerful code generation tool without the need for high-end hardware. The model is available in quantized versions (Q4_K_M and Q8_0), which further optimize its performance and reduce VRAM requirements to a range of 2.3–3.5 GB. This makes it feasible for use on a wide range of devices, from mid-range laptops to more powerful workstations. Ideal users include software developers, data scientists, and anyone involved in coding who needs a reliable, locally deployable AI assistant.

Check Your Hardware

See which quantizations of StarCoder2 3B your hardware can run.

Quantization Options

QuantizationBitsFile SizeVRAM NeededRAM NeededQuality
Q4_K_M4.51.758 GB2.26 GB2.76 GB
85%
Q8_083.003 GB3.5 GB4 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 3B?

StarCoder2 3B requires 2.26GB VRAM minimum with Q4_K_M quantization. For full precision, you need 3.5GB VRAM.

What is the best quantization for StarCoder2 3B?

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