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DeepSeek Coder V2

by DeepSeek

9.1
KYI Score

Advanced coding model with exceptional performance on programming tasks, supporting 338 programming languages.

CODEMITFREE236B (MoE)
Official WebsiteHugging Face

Quick Facts

Model Size
236B (MoE)
Context Length
128K tokens
Release Date
Jun 2024
License
MIT
Provider
DeepSeek
KYI Score
9.1/10

Best For

→Code generation
→Code completion
→Debugging
→Code translation

Performance Metrics

Speed

7/10

Quality

9/10

Cost Efficiency

8/10

Specifications

Parameters
236B (MoE)
Context Length
128K tokens
License
MIT
Pricing
free
Release Date
June 17, 2024
Category
code

Key Features

338 languagesCode generationCode completionLong context

Pros & Cons

Pros

  • ✓Exceptional coding
  • ✓Massive language support
  • ✓MIT license
  • ✓Long context

Cons

  • !Large model size
  • !Specialized for code

Ideal Use Cases

Code generation

Code completion

Debugging

Code translation

DeepSeek Coder V2 FAQ

What is DeepSeek Coder V2 best used for?

DeepSeek Coder V2 excels at Code generation, Code completion, Debugging. Exceptional coding, making it ideal for production applications requiring code capabilities.

How does DeepSeek Coder V2 compare to other models?

DeepSeek Coder V2 has a KYI score of 9.1/10, with 236B (MoE) parameters. It offers exceptional coding and massive language support. Check our comparison pages for detailed benchmarks.

What are the system requirements for DeepSeek Coder V2?

DeepSeek Coder V2 with 236B (MoE) requires appropriate GPU memory. Smaller quantized versions can run on consumer hardware, while full precision models need enterprise GPUs. Context length is 128K tokens.

Is DeepSeek Coder V2 free to use?

Yes, DeepSeek Coder V2 is free and licensed under MIT. 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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