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Home / Models / OLMo 7B

OLMo 7B

by AI2

7.7
KYI Score

Fully open language model with complete training data and code.

LLMApache 2.0FREE7B
Official WebsiteHugging Face

Quick Facts

Model Size
7B
Context Length
2K tokens
Release Date
Feb 2024
License
Apache 2.0
Provider
AI2
KYI Score
7.7/10

Best For

→Research
→Education
→Experimentation
→General tasks

Performance Metrics

Speed

9/10

Quality

7/10

Cost Efficiency

10/10

Specifications

Parameters
7B
Context Length
2K tokens
License
Apache 2.0
Pricing
free
Release Date
February 1, 2024
Category
llm

Key Features

Fully openTraining data availableReproducibleApache 2.0

Pros & Cons

Pros

  • ✓Completely open
  • ✓Reproducible
  • ✓Apache 2.0
  • ✓Research-friendly

Cons

  • !Shorter context
  • !Smaller model
  • !Research focus

Ideal Use Cases

Research

Education

Experimentation

General tasks

OLMo 7B FAQ

What is OLMo 7B best used for?

OLMo 7B excels at Research, Education, Experimentation. Completely open, making it ideal for production applications requiring llm capabilities.

How does OLMo 7B compare to other models?

OLMo 7B has a KYI score of 7.7/10, with 7B parameters. It offers completely open and reproducible. Check our comparison pages for detailed benchmarks.

What are the system requirements for OLMo 7B?

OLMo 7B with 7B requires appropriate GPU memory. Smaller quantized versions can run on consumer hardware, while full precision models need enterprise GPUs. Context length is 2K tokens.

Is OLMo 7B free to use?

Yes, OLMo 7B is free and licensed under Apache 2.0. 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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