
What is Qwen 2.5 14B?
Qwen 2.5 14B is a member of the Qwen 2.5 series, striking a balance between model size and capability. It is optimized for a wide range of applications, including chatbot development, data analysis, and software engineering. The model is accessible via both API and web interfaces.
How to Download and Install Qwen 2.5 14B?
- Download: Click the button below to download the installer compatible with your device.

- Run the Installer: Locate the downloaded file and double-click it to start the installation process.
- Complete Setup: Follow the on-screen instructions to finalize the installation.
The installation should be quick, typically taking just a few minutes. Once completed, Ollama will be ready to use.
- Windows Users: Open Command Prompt by searching for “cmd” in the Start menu.
- MacOS and Linux Users: Open Terminal from the Applications folder or use Spotlight (Cmd + Space).
- Verify Installation: Type
ollama
and press Enter. If a list of commands appears, the installation was successful.
This ensures that Ollama is ready to interact with the **Qwen 2.5 14B** model.
ollama run qwen2.5:14b
This will initiate the download of the necessary model files. Ensure you have a stable internet connection to avoid interruptions.
- Execute Command: Enter the command into your terminal and press Enter to begin the installation.
- Installation Process: This may take some time, depending on your internet speed and system capabilities.
Be patient during this step. Ensure your device has sufficient storage space for the model files.
- Test the Model: Open your terminal and input a prompt to see the model’s response. Experiment with different prompts to assess its capabilities.
If the model responds appropriately, the installation was successful. You’re now ready to utilize **Qwen 2.5 14B** for your projects!
Key Features of Qwen 2.5 14B
Advanced Language Capabilities
Blends general language tasks with programming expertise, featuring enhanced function calling and JSON output generation.
Improved Instruction Following
Optimized to better align with human preferences, especially in complex instruction tasks.
Efficient API Integration
Strong API integration capabilities, fully compatible with existing OpenAI APIs, supporting a 128K token context window.
Multilingual Support
Proficient in over 29 languages, including Chinese, English, French, Spanish, and more, enhancing its global applicability.
Model Performance and Improvements of Qwen 2.5 14B
Metric | Improvement |
---|---|
Training Data | Up to 18 trillion tokens |
Context Length | Supports up to 128K tokens |
Generation Capacity | Can generate up to 8K tokens |
Advanced Benchmark Performance of Qwen 2.5 14B
Benchmark | Performance | Description |
---|---|---|
MMLU | Outstanding results | Massive Multitask Language Understanding benchmark |
HumanEval | High accuracy in coding tasks | Assesses code generation by testing whether the generated code passes specific unit tests |
MATH | Strong mathematical reasoning | Evaluates mathematical reasoning capabilities |
Practical Applications
Accessibility and Cost Efficiency of Qwen 2.5 14B
Flexible Access
Available through GitHub, APIs, and online interfaces.
Extended Context Length
Supports context lengths up to 128K tokens.
Performance
High performance in coding tasks combined with cost-efficiency.
Open Source
Licensed under Apache 2.0, allowing for broad use and modification.