Higgsfield is an open-source, fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters, such as Large Language Models (LLMs).

Features

  • Allocating exclusive and non-exclusive access to compute resources (nodes) to users for their training tasks
  • Supporting ZeRO-3 deepspeed API and fully sharded data parallel API of PyTorch, enabling efficient sharding for trillion-parameter models
  • Offering a framework for initiating, executing, and monitoring the training of large neural networks on allocated nodes
  • Managing resource contention by maintaining a queue for running experiments
  • Facilitating continuous integration of machine learning development through seamless integration with GitHub and GitHub Actions
  • Higgsfield streamlines the process of training massive models and empowers developers with a versatile and robust toolset
  • Documentation available

Project Samples

Project Activity

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Categories

Machine Learning

License

Apache License V2.0

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Machine Learning Software

Registered

2024-08-06