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Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama3 for WhatsApp & Messenger.

Shell 0.04% Python 8.28% Jupyter Notebook 91.68%

llama-recipes's Introduction

  • 👋 Hi, I’m Dr. Canh T. Dinh (@CharlieDinh).
  • 👀 I’m interested in Federated Machine Learning, NLP, Computer Vision, etc, ...
  • 🌱 I obtained Phd in Privacy Machine Learning at The University of Sydney 2023.
  • 🌱 I’m Machine Learning Engineer at Canva.
  • 💞️ I’m looking to collaborate on Federated Machine Learning research or any ML research.
  • 📫 How to reach me: [email protected].

llama-recipes's People

Contributors

aarora79 avatar abhilash1910 avatar albertodepaola avatar amitsangani avatar chauhang avatar daniellepintz avatar dongwang218 avatar ejsd1989 avatar eltociear avatar fbnav avatar hamidshojanazeri avatar jeffxtang avatar joone avatar keitaw avatar kldarek avatar lchu-ibm avatar luobots avatar michaeltontchev avatar mreso avatar polym avatar rahul-sarvam avatar richmondalake avatar rlancemartin avatar sekyondameta avatar subramen avatar tmoreau89 avatar tryrobbo avatar varunfb avatar wuhanmonkey avatar wukaixingxp avatar

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