starcoder

Why we included this project

StarCoder is a code generation model trained on GitHub code, issues, commits, and notebooks spanning more than 80 programming languages, and this repo is where you go when you want to run the model rather than just skim the paper. It shows you how to load the weights through Hugging Face Transformers for CPU or GPU inference, serve them with text-generation-inference, and fine-tune the base model into a chat-style coding assistant, including how to merge PEFT adapter layers back into the base weights. The instructions favor reproducible training and deployment steps for the checkpoint itself, so they fit developers who are comfortable assembling their own tooling around an open model instead of expecting a turnkey product. Teams building a code-completion or in-editor assistant will find the dataset notes and evaluation walkthrough a useful starting point.