deepseek-ai/deepseek-coder

Analysis updated 2026-05-18

★ 23,251PythonAudience · developerComplexity · 3/5LicenseSetup · moderate

Mindmap

mindmap
  root((repo))
    What it does
      Code completion
      Code insertion
      Chat-style coding
    Model sizes
      1 billion params
      5.7 billion params
      6.7 billion params
      33 billion params
    Training
      87% source code
      80+ languages
      16K token window
    Tech stack
      Python
      Hugging Face
    Use cases
      Self-hosted assistant
      Local code generation
      Privacy-first coding

mindmap root((repo)) What it does Code completion Code insertion Chat-style coding Model sizes 1 billion params 5.7 billion params 6.7 billion params 33 billion params Training 87% source code 80+ languages 16K token window Tech stack Python Hugging Face Use cases Self-hosted assistant Local code generation Privacy-first coding

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What do people build with it?

USE CASE 1

Run a private AI coding assistant on your own hardware without sending code to external servers.

USE CASE 2

Complete code functions and fill in gaps across Python, JavaScript, Rust, Go, Java, C++, SQL, and 70+ other languages.

USE CASE 3

Build IDE plugins or editor integrations that understand multi-file project context for smarter suggestions.

What is it built with?

PythonHugging FaceTransformers

How does it compare?

	deepseek-ai/deepseek-coder	timqian/chinese-independent-blogs	jhao104/proxy_pool
Stars	23,251	23,225	23,317
Language	Python	Python	Python
Setup difficulty	moderate	easy	moderate
Complexity	3/5	1/5	3/5
Audience	developer	general	developer

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 30min

Requires downloading large model weights from Hugging Face and sufficient GPU/CPU memory to run inference.

Use freely for any purpose including commercial, as long as you keep the copyright notice.

In plain English

DeepSeek Coder is a family of AI models trained specifically to write, complete, and understand code. Unlike general-purpose AI, these models were built almost entirely on code, 87% of their training data is source code from a huge variety of programming languages (over 80 are supported, including Python, JavaScript, TypeScript, Rust, Go, Java, C++, SQL, and many more). The models come in different sizes, 1 billion, 5.7 billion, 6.7 billion, and 33 billion parameters, so you can pick one that fits your available computing resources. Smaller models run faster on less powerful hardware, the 33B model is more capable but needs a GPU with more memory. You can use DeepSeek Coder in three main ways: code completion (you give it a partial function and it finishes it), code insertion (you leave a gap in the middle of code and it fills it in), and chat-style interaction (you describe what you want in plain English and it writes the code). The models understand project-level context, not just single files, because they were trained with a large 16K token window. You would use this when you want a self-hosted AI coding assistant, meaning the model runs on your own machine or server rather than sending your code to a third-party cloud. It is built on Python and integrates with the Hugging Face ecosystem for downloading and running models.

Copy-paste prompts

Prompt 1

How do I set up DeepSeek Coder locally and integrate it with my code editor?

Prompt 2

Show me how to use the 6.7B model for code completion in a Python project.

Prompt 3

What's the difference between the 1B and 33B DeepSeek Coder models, and which should I use for my GPU?

Prompt 4

How do I use DeepSeek Coder's chat mode to describe what code I want and have it generate it?

Frequently asked questions

What is deepseek-coder?

Family of AI models trained on code to complete, insert, and generate code across 80+ programming languages. Self-hosted alternative to cloud-based coding assistants.

What language is deepseek-coder written in?

Mainly Python. The stack also includes Python, Hugging Face, Transformers.

What license does deepseek-coder use?

Use freely for any purpose including commercial, as long as you keep the copyright notice.

How hard is deepseek-coder to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is deepseek-coder for?

Mainly developer.

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