
Sukriti Sharma contributed to the foundation-model-stack/bamba repository by developing comprehensive fine-tuning documentation and runnable examples for the bamba model, supporting both SFT and LoRA methods. She focused on enabling user-driven model customization with clear guidance on multi-GPU and accelerate workflows, as well as integration notes for CodeAlpaca. To streamline open-source collaboration, Sukriti established detailed contribution guidelines, a Code of Conduct, and structured issue templates, improving governance and issue triage. Her work emphasized code organization and documentation quality, leveraging Python and the Hugging Face Transformers library to enhance onboarding, reproducibility, and the overall developer experience for the project’s contributors.

December 2024: Delivered key features and governance improvements for foundation-model-stack/bamba, focusing on enabling user-driven model customization and streamlined OSS collaboration.
December 2024: Delivered key features and governance improvements for foundation-model-stack/bamba, focusing on enabling user-driven model customization and streamlined OSS collaboration.
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