Is higgsfield still maintained?

No, archived. The owners archived it: no more fixes or updates.

Can I trust higgsfield?

Widely used. 6.3k stars, 8 years old, by an organization. As with any download, get it from the official repo.

Reading the repo

Opening the box…

How to install on macOS

higgsfield-ai/higgsfield

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

Python#cluster-management#deep-learning#distributed#llama

Before you start

Is it free?: YesOpen source (Apache-2.0).
Still maintained?: No, archivedThe owners archived it: no more fixes or updates.
Can I trust it?: Widely used6.3k stars, 8 years old, by an organization. As with any download, get it from the official repo.

Difficulty: Moderate
Time: about 15 min
Stars: ★ 6,300
Activity: Updated this month

Saved setup from 5 h ago

Will it work on macOS?

Yes, it installs on your macOS

The repo is archived: it still works as-is, but nobody is fixing bugs anymore.
The README gives a pip install for macOS.

Supported devices from the README: Compatibility

We need you to have nodes with:

Ubuntu
SSH access
Non-root user with sudo privileges (no-password is required)

Clouds we have tested on:

Azure
LambdaLabs
FluidStack

Feel free to open an issue if you have any problems with other clouds.

Your system

macOS Windows Linux

Start here

Install with a package manager

pip

pip install higgsfield==0.0.3

From the README, exactly as the maintainers wrote it.

Did you get it running?

No reports for macOS yet.

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Opens a chat with this manual already filled in, for macOS. It uses your own account; gitmanual sends nothing.

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