The model outperforms larger models when fine-tuned on public Replit user code. Users can generate code using the transformers library. The company has also provided a guide on how to use GPUs with the Triton kernel that the model supports and encourages users to experiment with different decoding methods and parameters. Further information and a technical deep dive into the fine-tuning process will be provided by the Replit AI team.
Key takeaways:
- Replit AI is now free for all users, aiming to be part of every software developer’s toolkit.
- The new code generation language model Replit Code V1.5 3B is released on Hugging Face, which can be used as a foundational model for application-specific fine-tuning without strict limitations on commercial use.
- The model features include extensive permissively licensed training data, state of the art results, broad multi-language support, latest techniques, and high quality curated training data.
- The model is intended for code completion tasks and outperforms models of much larger size when fine-tuned on public Replit user code.