# higgsfield-ai/higgsfield

<https://repo.masters-masters.com/en/repos/higgsfield-ai/higgsfield>

[Home](https://repo.masters-masters.com/en) › [higgsfield-ai](https://repo.masters-masters.com/en/owners/higgsfield-ai) › [higgsfield](https://repo.masters-masters.com/en/repos/higgsfield-ai/higgsfield)

higgsfield-ai/higgsfield has 6,281 stars on GitHub. Its RepoMasters card: Stable tier. Fault-tolerant, highly scalable GPU orchestration, and a machine…

| Field | Value |
| --- | --- |
| Owner | [higgsfield-ai](https://repo.masters-masters.com/en/owners/higgsfield-ai) |
| Stars | 6,281 |
| Forks | 1,165 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | Apache-2.0 |
| Created | 2018 |
| Topics | cluster-management, deep-learning, distributed, llama, llama2, llm, machine-learning, mlops, pytorch |
| Tier | [Stable (5,000 to 19,999 ★)](https://repo.masters-masters.com/en/ranks/cult) |
| View on GitHub | [higgsfield-ai/higgsfield](https://github.com/higgsfield-ai/higgsfield) |

## Repository

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

Archived: this repository is read-only

The tier for repos with 5,000 to 19,999 ★. Published odds per card pulled: 0.9%. Rarity: Very rare.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.