higgsfield
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
Train large AI models with billions of parameters using a system that manages GPU resources efficiently.
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Free · no card · unsubscribe anytimeFault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
higgsfield has 4.1k stars on GitHub. It has been forked 708 times. higgsfield is written mainly in Jupyter Notebook. It has been in active development since 2018. higgsfield is available under the Apache-2.0 license. Its main topics are cluster-management, deep-learning, distributed, llama.
What is higgsfield?
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
Is higgsfield open source?
higgsfield is an open-source project. It is released under the Apache-2.0 license.
Is higgsfield free?
Yes. higgsfield is free and open source — you can use, modify and self-host it.
What license does higgsfield use?
higgsfield is available under the Apache-2.0 license.
What language is higgsfield written in?
higgsfield is written mainly in Jupyter Notebook.
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