Alibaba

Qwen 2.5 Coder 14B

Powerful 14B code model. Excellent for complex programming tasks.

14B parametersqwen2apache-2.032K context8.87GB - 15.12GB VRAM

About This Model

Qwen 2.5 Coder 14B is a powerful code generation model developed by Alibaba, boasting 14 billion parameters and designed to handle extensive context lengths up to 32,768 tokens. This model excels in generating high-quality, contextually relevant code snippets across various programming languages, making it an invaluable tool for developers looking to automate repetitive coding tasks, generate documentation, or explore new coding ideas. The Apache 2.0 license ensures that users can freely integrate and modify the model for both personal and commercial projects.

In its size class, Qwen 2.5 Coder 14B holds its own, offering a balance between performance and efficiency. While it requires a significant amount of VRAM (8.9–15.1 GB), it manages to deliver robust results without being overly resource-intensive compared to other models of similar size. This makes it a practical choice for developers with mid-range to high-end GPUs. Ideal users include software engineers, data scientists, and researchers who need a reliable code generation tool that can be deployed locally. Realistic hardware requirements include a modern GPU with at least 12 GB of VRAM for smooth operation, ensuring that the model can handle complex tasks without performance bottlenecks.

Check Your Hardware

See which quantizations of Qwen 2.5 Coder 14B your hardware can run.

Quantization Options

QuantizationBitsFile SizeVRAM NeededRAM NeededQuality
Q4_K_M4.58.371 GB8.87 GB9.37 GB
85%
Q8_0814.623 GB15.12 GB15.62 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 Qwen 2.5 Coder 14B?

Qwen 2.5 Coder 14B requires 8.87GB VRAM minimum with Q4_K_M quantization. For full precision, you need 15.12GB VRAM.

What is the best quantization for Qwen 2.5 Coder 14B?

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