DeepSeek-Coder

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.