Phi-3 Medium

by Microsoft

8.3

KYI Score

Microsoft's efficient small language model that punches above its weight class with strong reasoning and coding abilities.

LLMMITFREE14B

Official Website Hugging Face

Quick Facts

Model Size: 14B
Context Length: 128K tokens
Release Date: May 2024
License: MIT
Provider: Microsoft
KYI Score: 8.3/10

Best For

→Edge deployment

→Mobile apps

→Chatbots

→Code assistance

Performance Metrics

Speed

9/10

Quality

7/10

Cost Efficiency

10/10

Specifications

Parameters: 14B
Context Length: 128K tokens
License: MIT
Pricing: free
Release Date: May 21, 2024
Category: llm

Key Features

Efficient architectureLong contextStrong reasoningFast inference

Pros & Cons

Pros

✓Excellent efficiency
✓MIT license
✓Long context
✓Fast

Cons

!Lower quality than larger models
!Limited capabilities

Ideal Use Cases

Edge deployment

Mobile apps

Chatbots

Code assistance

Phi-3 Medium FAQ

What is Phi-3 Medium best used for?

Phi-3 Medium excels at Edge deployment, Mobile apps, Chatbots. Excellent efficiency, making it ideal for production applications requiring llm capabilities.

How does Phi-3 Medium compare to other models?

Phi-3 Medium has a KYI score of 8.3/10, with 14B parameters. It offers excellent efficiency and mit license. Check our comparison pages for detailed benchmarks.

What are the system requirements for Phi-3 Medium?

Phi-3 Medium with 14B 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 Medium free to use?

Yes, Phi-3 Medium 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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