OpenCoder-llm

Why we included this project

OpenCoder is a family of open code language models that releases more than just weights. Along with the 1.5B and 8B base and chat checkpoints, it publishes the cleaned pretraining corpus, the data filtering pipeline, intermediate training checkpoints, and an evaluation framework. Teams that want to train or fine-tune their own code-specialized model without relying on a closed API will find a solid reference here. For researchers working on code intelligence or anyone who needs a reproducible baseline, the value is in the transparency: you can see exactly how the data was cleaned and deduplicated, then reuse those steps. It is not a drop-in coding assistant so much as a documented path to building a competitive code LLM from scratch.