GitHub - substratusai/runbooks: Finetune LLMs on K8s by using Runbooks
🚀🧠 Dive into the world of finetuning Large Language Models on Kubernetes with GitHub's substratusai/runbooks! 📝💻 Easily optimize LLMs with minimal code, enjoy Colab-style notebooks, and simplify machine learning across cloud platforms. #AI #MachineLearning
- This is a repository for Substratus AI's runbooks.
- It focuses on finetuning Large Language Models (LLMs) on Kubernetes with notebooks.
- It aims to provide a Colab-style seamless notebook experience for users.
- The project is evolving to concentrate on Notebooks on K8s.
- Users can fine-tune LLM models with minimal code.
- The platform offers a unified experience for machine learning across different cloud platforms.
- The installation process is easy with minimal dependencies.
- Users can serve popular Open Source LLM models quickly with Substratus AI's lingo.
- The repository provides clear instructions on how to set up a local Kubernetes cluster and import LLM models.
- Users can monitor the progress of the models and servers with simple commands.
- The repository also provides tips for trying out more capable LLMs on substantial hardware.
- The project is actively maintained with multiple contributors and regular updates.