DeepSeek‑Coder models are uniquely trained on a diverse dataset comprising 87% code and 13% natural language, making them exceptionally adept in software development environments. With model sizes ranging from 1.3B to 33B parameters and a 16K context window, these models excel in providing contextual code suggestions, thereby enhancing productivity for developers.
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DeepSeek-Coder
Unlock productivity in coding with DeepSeek-Coder's advanced context-aware suggestions.
Developed by DeepSeek AI
- Project-level code completionOptimized Capability
- Code infillingOptimized Capability
- Language-specific code suggestionsOptimized Capability
- Automated code reviewOptimized Capability
Generate a Python function to factorial a number using recursion.
- ✓ Highly scalable from 1.3B to 33B parameters
- ✓ Excellent performance on benchmarks like HumanEval and MultiPL-E
- ✓ Supports a wide range of programming languages enhancing versatility
- ✗ Larger models require significant computational resources
- ✗ Limited natural language understanding compared to dedicated LLMs
- ✗ Initial setup might be complex for inexperienced users
Technical Documentation
Best For
Developers seeking efficient code completion and generation across diverse coding languages.
Alternatives
GitHub Copilot, OpenAI Codex
Pricing Summary
Open-source and free to use, though large model deployments may require substantial infrastructure investment.
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