Pythia 12B
by EleutherAI
Suite of models for studying training dynamics and scaling laws.
Quick Facts
- Model Size
- 12B
- Context Length
- 2K tokens
- Release Date
- Apr 2023
- License
- Apache 2.0
- Provider
- EleutherAI
- KYI Score
- 7.6/10
Best For
Performance Metrics
Speed
Quality
Cost Efficiency
Specifications
- Parameters
- 12B
- Context Length
- 2K tokens
- License
- Apache 2.0
- Pricing
- free
- Release Date
- April 3, 2023
- Category
- llm
Key Features
Pros & Cons
Pros
- ✓Research-friendly
- ✓Checkpoints available
- ✓Apache 2.0
- ✓Well-documented
Cons
- !Research focus
- !Shorter context
- !Not optimized for production
Ideal Use Cases
Research
Education
Experimentation
Analysis
Pythia 12B FAQ
What is Pythia 12B best used for?
Pythia 12B excels at Research, Education, Experimentation. Research-friendly, making it ideal for production applications requiring llm capabilities.
How does Pythia 12B compare to other models?
Pythia 12B has a KYI score of 7.6/10, with 12B parameters. It offers research-friendly and checkpoints available. Check our comparison pages for detailed benchmarks.
What are the system requirements for Pythia 12B?
Pythia 12B with 12B 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 Pythia 12B free to use?
Yes, Pythia 12B 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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