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Home / Models / LLaMA 3.1 8B

LLaMA 3.1 8B

by Meta

8.2
KYI Score

A compact yet capable model perfect for edge deployment and resource-constrained environments while maintaining strong performance.

LLMLLaMA 3.1 Community LicenseFREE8B
Official WebsiteHugging Face

Quick Facts

Model Size
8B
Context Length
128K tokens
Release Date
Jul 2024
License
LLaMA 3.1 Community License
Provider
Meta
KYI Score
8.2/10

Best For

→Mobile apps
→Edge devices
→Real-time chat
→Local deployment

Performance Metrics

Speed

9/10

Quality

7/10

Cost Efficiency

10/10

Specifications

Parameters
8B
Context Length
128K tokens
License
LLaMA 3.1 Community License
Pricing
free
Release Date
July 23, 2024
Category
llm

Key Features

Fast inferenceLow resource usageLong contextEdge deployment

Pros & Cons

Pros

  • ✓Very fast
  • ✓Low memory footprint
  • ✓Easy to deploy
  • ✓Cost-effective

Cons

  • !Lower quality than larger models
  • !Limited reasoning capabilities

Ideal Use Cases

Mobile apps

Edge devices

Real-time chat

Local deployment

LLaMA 3.1 8B FAQ

What is LLaMA 3.1 8B best used for?

LLaMA 3.1 8B excels at Mobile apps, Edge devices, Real-time chat. Very fast, making it ideal for production applications requiring llm capabilities.

How does LLaMA 3.1 8B compare to other models?

LLaMA 3.1 8B has a KYI score of 8.2/10, with 8B parameters. It offers very fast and low memory footprint. Check our comparison pages for detailed benchmarks.

What are the system requirements for LLaMA 3.1 8B?

LLaMA 3.1 8B with 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 LLaMA 3.1 8B free to use?

Yes, LLaMA 3.1 8B is free and licensed under LLaMA 3.1 Community License. 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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