higgsfield-ai/higgsfield
- Total stars
- 5,832
- Today
- +3
More actions
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
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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. Read the original README →
Star growth looks organic. Data as of October 1, 2026, 11:14 UTC.
The star-growth assessment does not verify whether the project is safe to run.
Stars per day
Bars show stars per UTC day; the line is a moving average of available history. Gaps mean missing data, not zero growth. Today's bar is incomplete. Red marks spike days.
Why it’s trending
- 3 stars so far today, about 9 expected by the end of the day.
- Interest is fading: the two-day pace is 9% of the previous week and a half.
Measured growth: the last 7 completed days
The full 7-day window is unavailable; no weekly total or comparison is calculated.
Daily measurements · UTC
- October 27, 2026
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- October 28, 2026
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- October 29, 2026
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- October 30, 2026
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- October 31, 2026
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- November 1, 2026
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- November 2, 2026
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Completed days come from GitHub star history; today and forecasts are excluded from this comparison. History checked: October 1, 2026, 11:14 UTC. Sources and measurement limits →
Three GitHub discoveries in each edition
What they do, why they are gaining interest, and what to check before using them.
Editions at 10:00, 16:00, 22:00 MSK.
Numbers
- Total stars
- 5,832
- Today
- +3 stars on 2026-10-01 (UTC), ≈ 9 by evening
- Forks
- 1,043
- Issues and pull requests
- 32
- Watchers
- 90
- 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 21, 2026GitHub Trending today: #9, +465 stars
- September 20, 2026GitHub Trending today: #7, +461 stars
- September 19, 2026GitHub Trending today: #7, +314 stars
README badge
Paste it into your README — the badge shows the current magnitude and links to this page.
[](https://gitnova.dev/en/r/higgsfield-ai/higgsfield)