AI product Open source · Apache-2.0
Higgsfield is an open-source GPU workload manager and machine-learning framework for training models ranging from billions to trillions of parameters, including large language models.
It allocates exclusive or non-exclusive access to nodes, queues experiments to manage resource contention, and provides interfaces for distributed training with DeepSpeed ZeRO-3 and PyTorch fully sharded data parallelism. Its framework supports initiating, running, monitoring, and checkpointing experiments on allocated nodes, while its LLM training API includes model, data-loader, and experiment components.
Higgsfield integrates with GitHub and GitHub Actions to generate deployment and run workflows: required tools and project deployment keys are installed on servers, code is deployed to configured nodes, and experiments are launched and monitored through GitHub. The repository describes compatibility with Ubuntu nodes offering SSH access and passwordless sudo, and reports testing with Azure, LambdaLabs, and FluidStack.