open sourcecode

DeepSeek-Coder

Unleash the power of AI for your coding projects with DeepSeek-Coder.

Developed by DeepSeek AI

Official Site
33BParams
YesAPI Available
stableStability
1.0Version
Open Source LicenseLicense
PyTorchFramework
YesRuns Locally
Real-World Applications
  • Code completionOptimized Capability
  • Code infillingOptimized Capability
  • Multi-language supportOptimized Capability
  • Automated code reviewOptimized Capability
Implementation Example
Example Prompt
Generate a Python function to calculate Fibonacci numbers.
Model Output
"def fibonacci(n):\n if n <= 0:\n return 0\n elif n == 1:\n return 1\n else:\n return fibonacci(n-1) + fibonacci(n-2)"
Advantages
  • ✓ Leads in performance benchmarks like HumanEval and MBPP.
  • ✓ Offers a flexible architecture with varying model sizes (1.3B to 33B parameters).
  • ✓ Highly efficient at understanding context with a 16K token window.
Limitations
  • ✗ Large models may require substantial computational resources.
  • ✗ Complexity in setup for beginners unfamiliar with AI models.
  • ✗ Limited support for niche programming languages compared to mainstream languages.
Model Intelligence & Architecture

Technical Documentation

DeepSeek-Coder is a powerful open-source series of code language models developed by DeepSeek AI using PyTorch. Trained from scratch on a massive dataset of 2 trillion tokens, with 87% being source code and 13% natural language, it offers advanced capabilities for project-level code completion and infilling across multiple programming languages. With model sizes ranging from 1.3 billion to 33 billion parameters and a 16K window context, DeepSeek-Coder delivers state-of-the-art performance, consistently leading benchmarks such as HumanEval, MultiPL-E, and MBPP in the open-source domain.

Technical Overview

DeepSeek-Coder models have been meticulously trained on extensive code and natural language data to optimize complex code generation tasks including completion and infilling within entire projects. Their large context window enables the consideration of long-range dependencies within codebases for higher accuracy and coherence. The models support dozens of programming languages and excel in automated code-related tasks, maintaining robust performance across diverse environments.

Framework & Architecture

  • Framework: PyTorch
  • Architecture: Transformer-based large code language model
  • Parameters: Range from 1.3B to 33B
  • Context Window: 16,000 tokens
  • Latest Version: 1.0

The architecture leverages multi-layer transformers optimized for code understanding and generation, enabling scalable training and inference while supporting extensive multi-language codebases.

Key Features / Capabilities

  • Project-level code completion and infilling
  • Support for dozens of programming languages
  • Large 16K token context window for contextual awareness
  • Strong benchmark performance in HumanEval, MultiPL-E, and MBPP
  • Open-source – promotes transparency and community-driven improvements
  • Pretrained with diverse code and natural language data for better generalization

Use Cases

  • Code completion for faster development and reduced errors
  • Code infilling to insert missing code snippets within projects
  • Multi-language support for cross-platform and multi-framework projects
  • Automated code review assistance to detect issues and suggest improvements

Access & Licensing

DeepSeek-Coder is released under an Open Source License, making it free and accessible to developers worldwide. The source code and pretrained models are available on GitHub for easy integration, experimentation, and customization. Developers can access the official model and documentation through the Hugging Face platform, enabling straightforward deployment and usage in various coding applications.

Official URL: https://huggingface.co/deepseek-ai/deepseek-coder-33b-instruct

Source Code: https://github.com/deepseek-ai/DeepSeek-Coder

Technical Specification Sheet

FAQs

Technical Details
Architecture
Causal Decoder-only Transformer
Stability
stable
Framework
PyTorch
Signup Required
No
API Available
Yes
Runs Locally
Yes
Release Date
2024-01-28

Best For

Developers seeking advanced code generation and completion capabilities.

Alternatives

GitHub Copilot, Tabnine, Codeium

Pricing Summary

DeepSeek-Coder is open-source, allowing free access and adaptation.

Compare With

DeepSeek-Coder vs GitHub CopilotDeepSeek-Coder vs CodeGenDeepSeek-Coder vs CodexDeepSeek-Coder vs Tabnine

Explore Tags

#code-generation#developer

Explore Related AI Models

Discover similar models to DeepSeek-Coder

View All Models
OPEN SOURCE

StarCoder2

StarCoder2 is a large-scale open-source AI model developed by BigCode for code generation and comprehension tasks.

Code GenerationView Details
OPEN SOURCE

DBRX Instruct

DBRX Instruct is an open-source large language model developed by Databricks, designed for code generation, reasoning, and tool-assisted problem solving.

Code GenerationView Details
OPEN SOURCE

CodeGen2.5 7B

CodeGen2.5 7B is an open-source, 7-billion-parameter large language model created by Salesforce Research for program synthesis, code generation, and infill tasks.

Code GenerationView Details