Alibaba

Qwen 2.5 14B

Strong 14B model with excellent coding and reasoning. iPad Pro recommended.

14B parametersqwen2apache-2.0128K context8.87GB - 15.12GB VRAM

About This Model

Qwen 2.5 14B by Alibaba is a large language model with 14 billion parameters, designed for advanced text generation tasks. This model excels in generating coherent and contextually relevant text across a wide range of applications, including content creation, chatbot interactions, and natural language understanding. With a context length of 131,072 tokens, Qwen 2.5 14B can handle extensive input sequences, making it suitable for tasks that require deep contextual understanding and long-form content generation. The model is licensed under the Apache-2.0 license, ensuring it is freely available for both research and commercial use.

In its size class, Qwen 2.5 14B holds its own, offering competitive performance and efficiency. While it is a hefty model requiring significant computational resources, it demonstrates strong capabilities in generating high-quality text, often outperforming smaller models in complex tasks. The available quantizations, Q4_K_M and Q8_0, help reduce the VRAM requirements to a more manageable range of 8.9 to 15.1 GB, making it feasible for users with mid-range to high-end GPUs. Ideal users include researchers, developers, and businesses looking to deploy robust text generation capabilities locally. Realistic hardware for running this model includes systems equipped with GPUs such as the NVIDIA RTX 3080 or higher, ensuring smooth and efficient operation.

Check Your Hardware

See which quantizations of Qwen 2.5 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 14B?

Qwen 2.5 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 14B?

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