Phi-3 Mini
by Microsoft
Smallest Phi-3 model optimized for mobile and edge deployment.
Quick Facts
- Model Size
- 3.8B
- Context Length
- 128K tokens
- Release Date
- Apr 2024
- License
- MIT
- Provider
- Microsoft
- KYI Score
- 7.5/10
Best For
Performance Metrics
Speed
Quality
Cost Efficiency
Specifications
- Parameters
- 3.8B
- Context Length
- 128K tokens
- License
- MIT
- Pricing
- free
- Release Date
- April 23, 2024
- Category
- llm
Key Features
Pros & Cons
Pros
- ✓Extremely efficient
- ✓Long context
- ✓MIT license
- ✓Fast
Cons
- !Limited capabilities
- !Small model
- !Lower quality
Ideal Use Cases
Mobile apps
Edge deployment
Real-time
IoT
Phi-3 Mini FAQ
What is Phi-3 Mini best used for?
Phi-3 Mini excels at Mobile apps, Edge deployment, Real-time. Extremely efficient, making it ideal for production applications requiring llm capabilities.
How does Phi-3 Mini compare to other models?
Phi-3 Mini has a KYI score of 7.5/10, with 3.8B parameters. It offers extremely efficient and long context. Check our comparison pages for detailed benchmarks.
What are the system requirements for Phi-3 Mini?
Phi-3 Mini with 3.8B requires appropriate GPU memory. Smaller quantized versions can run on consumer hardware, while full precision models need enterprise GPUs. Context length is 128K tokens.
Is Phi-3 Mini free to use?
Yes, Phi-3 Mini is free and licensed under MIT. You can deploy it on your own infrastructure without usage fees or API costs, giving you full control over your AI deployment.
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