Download Qwen 2.5 3B
What is Qwen 2.5 3B?
Model Size
3-billion-parameter causal language model, part of the Qwen 2.5 series.
Design Focus
Efficient and versatile, catering to edge-side applications and resource-limited environments.
Performance
Impressive capabilities in coding, mathematics, and natural language understanding despite compact size.
How to Download and Install Qwen 2.5 3B
To get started with Qwen 2.5-3B, you’ll first need to install Ollama:
- Get the Installer: Use the button below to download Ollama for your system.

After downloading, install Ollama:
- Run the Installer: Find the downloaded file and double-click to start installation.
- Follow Instructions: Complete the setup by following the on-screen guide.
This process is usually quick, taking only a few minutes.
To ensure Ollama is ready:
- Windows: Open Command Prompt via the Start menu.
- MacOS/Linux: Launch Terminal from Applications or use Spotlight.
- Check Installation: Type
ollama
and press Enter. You should see a list of commands.
This confirms Ollama is prepared for Qwen 2.5-3B.
With Ollama ready, download Qwen 2.5-3B:
ollama run qwen2.5:3b
This starts the model download. Ensure you have a stable internet connection.
After downloading:
- Execute Command: Enter the command in your terminal to begin installation.
- Wait Patiently: Installation time varies based on your system and internet speed.
Ensure you have enough storage space for the model.
Finally, check if Qwen 2.5-3B is working:
- Model Test: In your terminal, enter a prompt to see how the model responds. Try different prompts to explore its capabilities.
If you get appropriate responses, Qwen 2.5-3B is successfully installed and ready for use!
Key Features of Qwen 2.5-3B
Efficient Architecture
3.09 billion parameters (2.77 billion non-embedding) balancing efficiency and performance.
Layer Configuration
36 layers with 16 attention heads for queries and 2 for keys and values.
Enhanced Knowledge Base
Trained on Alibaba’s dataset of up to 18 trillion tokens across various domains.
Specialized Capabilities
Integrated expert models for improved coding and mathematics performance.
Advanced Instruction Following
Significant improvements in following instructions for conversational AI and task-specific applications.
Multilingual Proficiency of Qwen 2.5-3B
Technical Specifications of Qwen 2.5-3B
Specification | Details |
---|---|
Architecture | Transformers with RoPE, SwiGLU, RMSNorm, and Attention QKV bias |
Word Embeddings | Tied word embeddings for reduced model size |
License | Qwen Research License (for research and non-commercial use) |
Advantages of Choosing Qwen 2.5-3B
Resource Efficiency
Ideal for environments with limited computational resources.
Competitive Performance
Surpasses larger models in coding and mathematical tasks.
Versatile Applications
Suitable for conversational AI, content generation, and data analysis.