Phi-3 Small
by Microsoft
Balanced Phi-3 model with good performance and efficiency.
Quick Facts
- Model Size
- 7B
- Context Length
- 128K tokens
- Release Date
- May 2024
- License
- MIT
- Provider
- Microsoft
- KYI Score
- 7.9/10
Best For
Performance Metrics
Speed
Quality
Cost Efficiency
Specifications
- Parameters
- 7B
- Context Length
- 128K tokens
- License
- MIT
- Pricing
- free
- Release Date
- May 21, 2024
- Category
- llm
Key Features
Pros & Cons
Pros
- ✓Good balance
- ✓Long context
- ✓MIT license
- ✓Efficient
Cons
- !Smaller model
- !Limited capabilities
Ideal Use Cases
Chatbots
Content generation
Edge deployment
General tasks
Phi-3 Small FAQ
What is Phi-3 Small best used for?
Phi-3 Small excels at Chatbots, Content generation, Edge deployment. Good balance, making it ideal for production applications requiring llm capabilities.
How does Phi-3 Small compare to other models?
Phi-3 Small has a KYI score of 7.9/10, with 7B parameters. It offers good balance and long context. Check our comparison pages for detailed benchmarks.
What are the system requirements for Phi-3 Small?
Phi-3 Small with 7B 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 Small free to use?
Yes, Phi-3 Small 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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