higgsfield-ai/higgsfield

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

Language modelsJupyter Notebook#cluster-management#deep-learning#distributed#llama#llama2

6.0 Breakout Magnitude out of 10. Star growth looks organic. Data as of September 19, 2026.

Open on Seismograph Open on GitHub

About the project

Fault-tolerant GPU orchestration and ML framework for distributed training of models with billions to trillions of parameters, including LLMs. Manages node access, experiment queueing, and GitHub Actions integration.

Useful for

Run distributed LLaMa 70B training across multiple GPU nodes using ZeRO-3
Set up an experiment queue to manage contention for compute resources
Integrate model training with GitHub Actions for ML CI/CD pipelines

README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.

Why it’s trending

38 stars so far today, about 113 expected by the end of the day. The usual pace is 5 per day, so that's 24× as much.
Over the last two days the pace is 25× that of the previous week and a half.
The spike has held for 3 days in a row — not a one-off blip.
GitHub Trending today: #7, +325 stars.
About 44 forks a day — people are taking the code.

Stars per day

Bars are daily stars, the line is the usual pace. Red marks spike days.

Numbers

Total stars: 4,672
Stars in a day: 113
Forks: 871
Issues and pull requests: 27
Watchers: 83
Language: Jupyter Notebook
License: Apache-2.0
Latest release: v0.0.4-rc · March 23, 2024
Created: May 26, 2018
Last push: September 14, 2026

Star trust

Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.

These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.

Spotted in

September 19, 2026GitHub Trending today: #7, +325 stars

README badge

Paste it into your README — the badge shows the current magnitude and links to this page.

[![Seismograph](https://gitnova.dev/badge/higgsfield-ai/higgsfield.svg?lang=en)](https://gitnova.dev/en/r/higgsfield-ai/higgsfield)

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