Starling 7B Alpha
by Berkeley
RLAIF-trained model achieving strong performance through reinforcement learning.
Quick Facts
- Model Size
- 7B
- Context Length
- 8K tokens
- Release Date
- Nov 2023
- License
- CC-BY-NC-4.0
- Provider
- Berkeley
- KYI Score
- 7.9/10
Best For
Performance Metrics
Speed
Quality
Cost Efficiency
Specifications
- Parameters
- 7B
- Context Length
- 8K tokens
- License
- CC-BY-NC-4.0
- Pricing
- free
- Release Date
- November 30, 2023
- Category
- llm
Key Features
Pros & Cons
Pros
- ✓RLAIF approach
- ✓Good performance
- ✓Research-backed
Cons
- !Non-commercial
- !Smaller model
- !Research focus
Ideal Use Cases
Research
Chatbots
Reasoning tasks
Starling 7B Alpha FAQ
What is Starling 7B Alpha best used for?
Starling 7B Alpha excels at Research, Chatbots, Reasoning tasks. RLAIF approach, making it ideal for production applications requiring llm capabilities.
How does Starling 7B Alpha compare to other models?
Starling 7B Alpha has a KYI score of 7.9/10, with 7B parameters. It offers rlaif approach and good performance. Check our comparison pages for detailed benchmarks.
What are the system requirements for Starling 7B Alpha?
Starling 7B Alpha with 7B requires appropriate GPU memory. Smaller quantized versions can run on consumer hardware, while full precision models need enterprise GPUs. Context length is 8K tokens.
Is Starling 7B Alpha free to use?
Yes, Starling 7B Alpha is free and licensed under CC-BY-NC-4.0. 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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