deepseek-ai/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.