TinyLlama 1.1B
by TinyLlama Team
Ultra-compact model for extreme edge deployment.
Quick Facts
- Model Size
- 1.1B
- Context Length
- 2K tokens
- Release Date
- Jan 2024
- License
- Apache 2.0
- Provider
- TinyLlama Team
- KYI Score
- 6.8/10
Best For
Performance Metrics
Speed
Quality
Cost Efficiency
Specifications
- Parameters
- 1.1B
- Context Length
- 2K tokens
- License
- Apache 2.0
- Pricing
- free
- Release Date
- January 4, 2024
- Category
- llm
Key Features
Pros & Cons
Pros
- ✓Extremely small
- ✓Very fast
- ✓Apache 2.0
- ✓Easy deployment
Cons
- !Very limited capabilities
- !Low quality
- !Shorter context
Ideal Use Cases
IoT
Mobile
Edge devices
Embedded systems
TinyLlama 1.1B FAQ
What is TinyLlama 1.1B best used for?
TinyLlama 1.1B excels at IoT, Mobile, Edge devices. Extremely small, making it ideal for production applications requiring llm capabilities.
How does TinyLlama 1.1B compare to other models?
TinyLlama 1.1B has a KYI score of 6.8/10, with 1.1B parameters. It offers extremely small and very fast. Check our comparison pages for detailed benchmarks.
What are the system requirements for TinyLlama 1.1B?
TinyLlama 1.1B with 1.1B 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 TinyLlama 1.1B free to use?
Yes, TinyLlama 1.1B 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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