Download Qwen 2.5 14B
What is Qwen 2.5-14B?
Model Size
14.7-billion-parameter causal language model, part of the Qwen 2.5 series.
Design Focus
Bridges the gap between efficiency and performance, excelling in coding, mathematics, and natural language understanding.
Context Length
Supports up to 131,072 tokens, enabling long-text comprehension and generation.
Download and Install Qwen 2.5 14B
To begin using Qwen 2.5-14B, you’ll need to set up Ollama first:
- Acquire the Software: Click the button below to download the Ollama installer suitable for your device.

Once you’ve downloaded Ollama:
- Launch Setup: Locate and double-click the downloaded installer to begin.
- Complete Installation: Follow the provided prompts to finish setting up Ollama.
The installation should be completed quickly, typically within a few minutes.
To confirm Ollama is correctly installed:
- For Windows Users: Access Command Prompt through the Start menu.
- For MacOS/Linux Users: Open Terminal from Applications or via Spotlight search.
- Installation Check: Enter
ollama
and press Enter. A list of available commands should appear.
This step ensures Ollama is ready to work with Qwen 2.5-14B.
With Ollama set up, proceed to get Qwen 2.5-14B:
ollama run qwen2.5:14b
This command initiates the model download. Ensure a stable internet connection for uninterrupted downloading.
After the download completes:
- Initiate Installation: Input the provided command in your terminal to start the setup.
- Allow Time for Processing: The installation duration may vary depending on your system specs and internet speed.
Make sure your device has sufficient storage capacity for the model files.
Lastly, ensure Qwen 2.5-14B is functioning correctly:
- Test Run: In your terminal, input a test prompt to see the model’s response. Experiment with various inputs to explore its capabilities.
Receiving coherent responses indicates that Qwen 2.5-14B is successfully installed and operational.
Key Features of Qwen 2.5-14B
Enhanced Knowledge Base
Trained on up to 18 trillion tokens, covering multiple domains.
Specialized Proficiency
Excels in coding tasks and mathematical computations.
Advanced Instruction Following
Improved algorithms for accurate task completion in applications like chatbots.
Extended Context Support
Handles context lengths of up to 131,072 tokens for comprehensive understanding.
Sophisticated Architecture
Utilizes transformers with RoPE, SwiGLU, RMSNorm, and enhanced attention mechanisms.
Technical Specifications of Qwen 2.5-14B
Specification | Details |
---|---|
Model Size | 14.7 billion parameters |
Context Length | Up to 131,072 tokens |
Attention Mechanism | 40 heads for queries, 8 for keys and values |
License | Apache 2.0 (open-source) |
Advantages of Choosing Qwen 2.5-14B
Balanced Performance
Offers capabilities rivaling larger models with improved efficiency.
Versatility
Excels in mathematics, coding, and long-form content generation.
Open-Source Flexibility
Apache 2.0 license allows for wide-ranging use and modification.
Multilingual Proficiency
Supports diverse languages for global applications.