Magicoder
by Magicoder Team
OSS-Instruct trained model achieving strong coding performance.
Quick Facts
- Model Size
- 7B
- Context Length
- 16K tokens
- Release Date
- Dec 2023
- License
- Apache 2.0
- Provider
- Magicoder Team
- KYI Score
- 7.9/10
Best For
Performance Metrics
Speed
Quality
Cost Efficiency
Specifications
- Parameters
- 7B
- Context Length
- 16K tokens
- License
- Apache 2.0
- Pricing
- free
- Release Date
- December 4, 2023
- Category
- code
Key Features
Pros & Cons
Pros
- ✓Efficient
- ✓Fast
- ✓Apache 2.0
- ✓Good for size
Cons
- !Smaller model
- !Limited capabilities
- !Newer approach
Ideal Use Cases
Code generation
Code completion
Learning
Prototyping
Magicoder FAQ
What is Magicoder best used for?
Magicoder excels at Code generation, Code completion, Learning. Efficient, making it ideal for production applications requiring code capabilities.
How does Magicoder compare to other models?
Magicoder has a KYI score of 7.9/10, with 7B parameters. It offers efficient and fast. Check our comparison pages for detailed benchmarks.
What are the system requirements for Magicoder?
Magicoder with 7B requires appropriate GPU memory. Smaller quantized versions can run on consumer hardware, while full precision models need enterprise GPUs. Context length is 16K tokens.
Is Magicoder free to use?
Yes, Magicoder 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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